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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. 19385
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    INDEX
    Explanations

    references to sports actions and terms

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports performance and strategy

    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
    indust
    -0.74
     Membership
    -0.68
    artisan
    -0.67
     membership
    -0.67
     Worldwide
    -0.64
    netflix
    -0.64
    yll
    -0.62
     Consumer
    -0.61
     unaff
    -0.61
     Saud
    -0.60
    POSITIVE LOGITS
     drib
    1.19
     defensively
    1.07
     defensive
    1.06
     tempo
    1.06
     turnovers
    1.06
     crou
    1.05
     combos
    1.04
     bounces
    1.02
     positional
    1.01
     opponent
    1.01
    Activations Density 0.875%

    No Known Activations