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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. 12560
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    INDEX
    Explanations

    sports-related defeat scores

    oai_token-act-pair · gpt-3.5-turbo

    elements related to sports results and statistics

    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
    natureconservancy
    -0.77
    imaru
    -0.72
     convol
    -0.71
    DAQ
    -0.69
     Tuls
    -0.69
    soType
    -0.68
    ngth
    -0.66
    EStreamFrame
    -0.66
     counselors
    -0.66
     lawy
    -0.65
    POSITIVE LOGITS
     Cardiff
    1.02
     Swansea
    0.98
     defeat
    0.96
     Southampton
    0.96
     Everton
    0.96
     Tottenham
    0.96
     Sunderland
    0.93
     Newcastle
    0.92
     Wembley
    0.90
     Manchester
    0.90
    Activations Density 0.161%

    No Known Activations