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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 12522
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    Explanations

    phrases related to physical structures or elements in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    nouns that represent themes or concepts related to duality or contrasts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    ãģķ
    -0.65
    ãĥīãĥ©
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    oso
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     Brew
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     Logged
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    redd
    -0.56
    awatts
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    awi
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    olicited
    -0.55
    ãĥĥãĥĪ
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    POSITIVE LOGITS
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    0.89
     hierarchy
    0.81
    liest
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    isphere
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    osphere
    0.78
    iverse
    0.75
     rectangle
    0.72
    advertising
    0.71
    family
    0.68
     skelet
    0.66
    Activations Density 0.700%

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