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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. 7-RES-JB
    11. 12608
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    Explanations

    statistics and information related to sports games

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to sports player participation and performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Expend
    -0.75
    gement
    -0.66
     rul
    -0.65
     Catalyst
    -0.59
     Cosmic
    -0.59
     impending
    -0.58
    ellar
    -0.57
     achievement
    -0.56
    rification
    -0.56
     possibility
    -0.56
    POSITIVE LOGITS
     extensively
    0.86
     differently
    0.84
    Downloadha
    0.79
     outdoors
    0.78
    bye
    0.77
     indoors
    0.76
     rounds
    0.75
     concurrently
    0.74
    arter
    0.74
     professionally
    0.73
    Activations Density 0.506%

    No Known Activations