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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 4435
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    Explanations

    people, usually athletes, who are leading or have led in statistics or performance

    oai_token-act-pair · gpt-3.5-turbo

    phrases and words related to leadership and performance 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
    atari
    -0.75
    iola
    -0.71
    enegger
    -0.71
    anty
    -0.66
    ahon
    -0.64
    ethnic
    -0.60
    nery
    -0.60
    fa
    -0.60
    money
    -0.59
    mini
    -0.58
    POSITIVE LOGITS
     scorer
    1.07
     all
    0.84
     the
    0.74
     off
    0.73
     tack
    0.72
     rusher
    0.67
     them
    0.66
     everything
    0.64
     chants
    0.63
     ALL
    0.63
    Activations Density 0.048%

    No Known Activations