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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
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    mentions of the name "Kevin"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Kevin"

    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
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    No Comments

    Negative Logits
    yrinth
    -0.86
    schild
    -0.86
    recomm
    -0.73
    MENTS
    -0.72
    bly
    -0.72
    enegger
    -0.71
    pmwiki
    -0.70
    ¥µ
    -0.68
    mented
    -0.68
    rants
    -0.68
    POSITIVE LOGITS
     Rudd
    0.88
    arios
    0.84
     Bacon
    0.81
     Durant
    0.80
    istic
    0.80
     Faul
    0.77
     Kis
    0.77
     Dunn
    0.77
     Smith
    0.76
     Williamson
    0.76
    Activations Density 0.022%

    No Known Activations