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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. 7394
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    INDEX
    Explanations

    mentions of sports drafts and picks in various leagues

    oai_token-act-pair · gpt-3.5-turbo

    references to draft rounds in sports contexts

    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
     ful
    -0.88
     appre
    -0.72
    sth
    -0.67
    mercial
    -0.67
     obser
    -0.66
     Blanc
    -0.65
    rogen
    -0.64
     Gest
    -0.64
     Wem
    -0.63
    uras
    -0.63
    POSITIVE LOGITS
    naire
    0.95
    Õ
    0.87
    Draft
    0.85
     runoff
    0.80
     rob
    0.78
    \\\\\\\\
    0.75
    Ü
    0.74
    OE
    0.73
    folios
    0.72
    tery
    0.72
    Activations Density 0.016%

    No Known Activations