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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. 12-RES-JB
    11. 3340
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    Explanations

    numeric values associated with various sports statistics

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    numerical statistics or performance metrics in the context of sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    alus
    -0.72
     Lauder
    -0.67
     camel
    -0.67
    nesday
    -0.64
     peac
    -0.64
     Canaver
    -0.61
     [*
    -0.60
     evenings
    -0.59
     neighbouring
    -0.58
     Euras
    -0.57
    POSITIVE LOGITS
    QB
    0.93
    HR
    0.87
    PT
    0.87
    TD
    0.85
    B
    0.84
    GS
    0.83
    FB
    0.83
    BR
    0.82
    FG
    0.81
    BB
    0.80
    Activations Density 0.070%

    No Known Activations