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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. 9964
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    Explanations

    statistics related to sports and performance metrics

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics and performance metrics related to sports

    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
    arya
    -0.86
    quest
    -0.76
    orks
    -0.73
    ayers
    -0.66
    foreseen
    -0.65
    netflix
    -0.63
    ophob
    -0.63
    hai
    -0.62
    udeb
    -0.62
    ones
    -0.61
    POSITIVE LOGITS
    /.
    1.13
    -.
    0.95
     hitter
    0.87
     batting
    0.82
    (-
    0.76
     avg
    0.75
     halftime
    0.74
     homer
    0.71
    ģ«
    0.71
     caliber
    0.70
    Activations Density 0.034%

    No Known Activations