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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. 6-RES-JB
    11. 7089
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    Explanations

    references to external influences or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to external influences or factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    killer
    -0.83
    birds
    -0.79
    ony
    -0.78
    EY
    -0.78
    ander
    -0.77
     Slay
    -0.74
    hower
    -0.74
    oned
    -0.74
    ammy
    -0.73
    KING
    -0.73
    POSITIVE LOGITS
    ities
    1.09
    ized
    0.95
    izing
    0.89
     combustion
    0.87
    ization
    0.87
     dimensions
    0.86
    izes
    0.84
    izations
    0.82
    ised
    0.82
    worldly
    0.82
    Activations Density 0.030%

    No Known Activations