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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. 5-RES-JB
    6. 10567
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    INDEX
    Explanations

    references to different sports, with a focus on football

    oai_token-act-pair · gpt-3.5-turbo

    references to various sports and the concept of team competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OHN
    -0.63
    usted
    -0.62
    emonic
    -0.62
     timestamp
    -0.61
    ICE
    -0.60
     corrections
    -0.60
    dfx
    -0.60
    agraph
    -0.59
     Pradesh
    -0.58
    roth
    -0.58
    POSITIVE LOGITS
    interstitial
    0.76
    ateurs
    0.76
     Franch
    0.73
    mud
    0.72
    merce
    0.71
     Recre
    0.70
     Gleaming
    0.68
     Tycoon
    0.67
     trout
    0.66
     hoop
    0.65
    Activations Density 0.513%

    No Known Activations