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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. 3-RES-JB
    11. 61
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    Explanations

    mentions of the name "Scott" followed by a numeric value indicating the strength of the mention

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Scott."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chid
    -0.72
    pread
    -0.72
    senal
    -0.71
    ĺħ
    -0.71
    ĵĺ
    -0.68
    mediate
    -0.66
    iotic
    -0.65
    ften
    -0.65
    ngth
    -0.64
     consolation
    -0.63
    POSITIVE LOGITS
    inelli
    1.00
     Scott
    0.97
     Pilgrim
    0.96
     Walker
    0.96
    inson
    0.95
    ards
    0.94
     Morrison
    0.93
    enson
    0.93
    oken
    0.88
     Pruitt
    0.84
    Activations Density 0.009%

    No Known Activations