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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. 12120
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    Explanations

    information related to hitting performance in sports, particularly baseball

    oai_token-act-pair · gpt-3.5-turbo

    references to sports statistics, specifically hitting metrics in baseball

    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
    Introduced
    -0.74
     âĸº
    -0.64
    ETF
    -0.63
    Enlarge
    -0.57
    Rew
    -0.57
    antha
    -0.56
     Dish
    -0.56
     spons
    -0.56
    aran
    -0.56
     dstg
    -0.55
    POSITIVE LOGITS
     .
    0.87
     homers
    0.80
     (.
    0.74
     safely
    0.74
    /.
    0.73
     404
    0.73
    ickson
    0.71
    chers
    0.69
     streaks
    0.66
     ninth
    0.66
    Activations Density 0.090%

    No Known Activations