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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. 1987
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    Explanations

    words related to abstract concepts and systems

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various forms of sacrifice and systemic issues

    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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    Negative Logits
    etsk
    -0.77
    arnaev
    -0.64
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    -0.56
    olulu
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     Shed
    -0.52
     backdoor
    -0.51
    recated
    -0.51
    POSITIVE LOGITS
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    0.61
     proportions
    0.58
    votes
    0.53
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    anity
    0.50
    activity
    0.49
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    0.49
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    0.49
    Activations Density 1.607%

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