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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. 1-RES-JB
    11. 7007
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    Explanations

    numerical mentions of victories or successes

    oai_token-act-pair · gpt-3.5-turbo

    information related to the term "wins" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dwell
    -0.66
     spec
    -0.65
     plun
    -0.62
     mort
    -0.62
    uras
    -0.62
    erity
    -0.60
    yrinth
    -0.60
     intestine
    -0.60
    pled
    -0.60
    oin
    -0.58
    POSITIVE LOGITS
     wins
    0.96
     victories
    0.95
    terson
    0.76
    win
    0.74
     win
    0.73
    ettings
    0.72
    manship
    0.72
     victory
    0.71
    hips
    0.69
     Winning
    0.69
    Activations Density 0.010%

    No Known Activations