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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. 11151
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    INDEX
    Explanations

    phrases related to sports team achievements and leadership

    oai_token-act-pair · gpt-3.5-turbo

    references to teams and their 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
    pmwiki
    -0.76
    é¾įå¥ij士
    -0.69
     arrang
    -0.61
    rossover
    -0.59
    umbn
    -0.57
    izoph
    -0.57
     consultation
    -0.57
    endi
    -0.57
    soDeliveryDate
    -0.56
     Dupl
    -0.56
    POSITIVE LOGITS
     unbeaten
    0.90
     comeback
    0.77
     tally
    0.75
     victory
    0.72
     achieve
    0.71
     undefeated
    0.71
     win
    0.71
     clinch
    0.69
     overcome
    0.68
     victories
    0.67
    Activations Density 0.136%

    No Known Activations