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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. 6-RES-JB
    6. 19498
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    INDEX
    Explanations

    terminology related to football defensive strategies and player performance

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to defense strategies in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     UNESCO
    -0.87
     Governments
    -0.85
     Console
    -0.76
    netflix
    -0.73
     Funding
    -0.72
     ABE
    -0.72
     Federation
    -0.71
     Mahjong
    -0.71
     Coffin
    -0.69
    AFTA
    -0.68
    POSITIVE LOGITS
     offensively
    0.99
     athleticism
    0.96
     linebacker
    0.90
     positional
    0.90
     defensively
    0.89
     linebackers
    0.87
     infield
    0.86
     undrafted
    0.84
     instincts
    0.83
     athlet
    0.83
    Activations Density 0.215%

    No Known Activations