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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. 6315
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    Explanations

    proper nouns related to sports teams and events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to competitive outcomes in sports

    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
    onym
    -0.94
    soType
    -0.89
    untary
    -0.84
    Companies
    -0.83
    minist
    -0.82
    cffffcc
    -0.79
    reprene
    -0.78
    Educ
    -0.78
    Pub
    -0.78
    Studies
    -0.75
    POSITIVE LOGITS
     halftime
    1.01
     defeat
    0.92
     they
    0.90
     Coach
    0.90
     referee
    0.89
     turnovers
    0.89
     defeats
    0.89
     defeating
    0.87
     adversity
    0.87
     victory
    0.85
    Activations Density 0.293%

    No Known Activations