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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. 24050
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    Explanations

    words related to processes involving change or transformation

    oai_token-act-pair · gpt-3.5-turbo

    words related to recovery or restoration processes

    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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    No Comments

    Negative Logits
    laden
    -0.79
    silver
    -0.74
    minecraft
    -0.69
    inki
    -0.69
    breakers
    -0.67
    icky
    -0.67
    stones
    -0.63
    hearted
    -0.62
    eye
    -0.62
    liners
    -0.62
    POSITIVE LOGITS
    rocal
    0.87
    owship
    0.82
    issance
    0.82
    ctions
    0.81
    lus
    0.78
    tions
    0.77
    ption
    0.77
    atorium
    0.77
    lation
    0.76
    llor
    0.76
    Activations Density 0.029%

    No Known Activations