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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. 9272
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    Explanations

    information related to sports figures, including their names, weights, and sport associations

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to sports events and statistics

    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
     Lerner
    -0.78
     Spiel
    -0.78
     Snyder
    -0.71
    nel
    -0.71
     mids
    -0.70
     Roof
    -0.70
    phia
    -0.69
     Spartans
    -0.67
     Woody
    -0.67
     projector
    -0.63
    POSITIVE LOGITS
    KO
    1.12
     knockout
    1.08
     KO
    1.03
     elim
    0.99
     MMA
    0.99
     disqual
    0.96
     takedown
    0.96
     bouts
    0.94
    animous
    0.94
     unanimous
    0.94
    Activations Density 0.112%

    No Known Activations