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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. 31
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    INDEX
    Explanations

    reasons or explanations for events or actions

    oai_token-act-pair · gpt-3.5-turbo

    explanations or justifications for actions or decisions

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Carbuncle
    -0.69
     puck
    -0.67
     Samurai
    -0.67
     broom
    -0.66
    inav
    -0.65
     sweats
    -0.64
    KY
    -0.63
     heads
    -0.63
    ko
    -0.61
    chron
    -0.61
    POSITIVE LOGITS
     why
    1.12
     WHY
    0.99
    why
    0.95
    abl
    0.92
    quickShipAvailable
    0.82
    FORE
    0.74
    Why
    0.74
    ="#
    0.74
     behind
    0.73
    ÃĽ
    0.72
    Activations Density 0.020%

    No Known Activations