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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. 10-RES-JB
    6. 7480
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    INDEX
    Explanations

    information related to American football teams and matches

    oai_token-act-pair · gpt-3.5-turbo

    references to NFL teams and their performance statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     separatists
    -0.88
     QC
    -0.84
     separatist
    -0.82
    rylic
    -0.81
    liament
    -0.80
     Pengu
    -0.79
     Sora
    -0.79
    bourg
    -0.79
     Filipino
    -0.77
     manga
    -0.77
    POSITIVE LOGITS
     quarterback
    1.67
     NFL
    1.63
     Packers
    1.60
     QB
    1.58
    NFL
    1.56
     quarterbacks
    1.55
     Broncos
    1.53
     Patriots
    1.49
     Colts
    1.47
     Bengals
    1.46
    Activations Density 0.716%

    No Known Activations