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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. 8-RES-JB
    11. 11226
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    INDEX
    Explanations

    information related to sports matches and player statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics related to sports performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.72
     casc
    -0.67
     Peb
    -0.67
     ceilings
    -0.63
     sensibilities
    -0.62
    orem
    -0.61
     Shant
    -0.60
     pH
    -0.59
     Roche
    -0.58
    bara
    -0.58
    POSITIVE LOGITS
     stint
    0.99
     Bundesliga
    0.89
     scrimmage
    0.85
     innings
    0.83
     spor
    0.82
     preseason
    0.81
     postseason
    0.77
    adic
    0.77
    liga
    0.77
     qualifiers
    0.76
    Activations Density 0.335%

    No Known Activations