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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. 23068
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    Explanations

    references to statistics related to sports, particularly American football

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to defensive plays in football, particularly tackles and sacks

    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
    Reviewer
    -0.79
    amate
    -0.75
    Wiki
    -0.67
    eways
    -0.67
     moderation
    -0.65
    sonian
    -0.64
    ancial
    -0.63
    eno
    -0.63
    eral
    -0.62
    arde
    -0.62
    POSITIVE LOGITS
     apiece
    0.99
     sacks
    0.93
     yards
    0.91
     rusher
    0.90
     linebackers
    0.83
     blitz
    0.77
    tackle
    0.77
     tackles
    0.76
     sack
    0.75
     touchdowns
    0.75
    Activations Density 0.079%

    No Known Activations