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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. 2871
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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 @ 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
    STON
    -0.75
    axter
    -0.74
    fall
    -0.69
    bury
    -0.69
    shock
    -0.68
    £ı
    -0.68
    quished
    -0.67
    shield
    -0.64
    sets
    -0.64
    birds
    -0.64
    POSITIVE LOGITS
    icit
    1.22
    entious
    0.74
    yrinth
    0.73
    atively
    0.71
    ums
    0.70
    inence
    0.70
    ograp
    0.70
    ATIVE
    0.70
    acion
    0.69
    ative
    0.69
    Activations Density 0.015%

    No Known Activations