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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. 3-RES-JB
    11. 8262
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ËĪ
    -0.96
    soDeliveryDate
    -0.80
    ogyn
    -0.78
    miah
    -0.75
    dfx
    -0.74
    achine
    -0.72
    selves
    -0.69
    uyomi
    -0.68
    oslav
    -0.67
    cess
    -0.65
    POSITIVE LOGITS
    agos
    0.76
    loe
    0.74
    ierre
    0.67
     Ferry
    0.67
    ioxide
    0.65
    leon
    0.65
    oglu
    0.65
    aurus
    0.63
    cius
    0.63
     chains
    0.62
    Activations Density 0.469%

    No Known Activations