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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. 11-RES-JB
    11. 2721
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    Explanations

    mentions of animals, particularly bears

    oai_token-act-pair · gpt-3.5-turbo

    references to bears, both as animals and as part of team names or brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istry
    -0.82
    akuya
    -0.82
    lectic
    -0.76
    VICE
    -0.73
    ij士
    -0.73
     Seym
    -0.69
    selves
    -0.65
     Ack
    -0.65
    ularity
    -0.64
    ular
    -0.63
    POSITIVE LOGITS
    beit
    1.05
     cub
    0.93
     Bears
    0.91
     Bryant
    0.90
    cats
    0.90
     Gry
    0.89
    bear
    0.82
    claw
    0.81
    zeb
    0.80
     hugs
    0.80
    Activations Density 0.065%

    No Known Activations