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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. 1472
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    INDEX
    Explanations

    sports-related terms and statistics from various sports leagues

    oai_token-act-pair · gpt-3.5-turbo

    metrics and rankings related to sports performance

    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
    weed
    -0.75
    chin
    -0.75
    vt
    -0.74
    ĸļ
    -0.70
     UNESCO
    -0.68
     Shutterstock
    -0.66
     Gandhi
    -0.65
    liam
    -0.64
    bourg
    -0.64
    lda
    -0.62
    POSITIVE LOGITS
     scouting
    1.31
     Scouting
    1.17
     rankings
    1.13
     scouts
    1.13
     Composite
    1.07
     Rankings
    1.02
     projections
    1.02
     scout
    0.98
    Sports
    0.96
     eval
    0.94
    Activations Density 0.186%

    No Known Activations