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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. 10-RES-JB
    11. 7866
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    INDEX
    Explanations

    baseball player statistics, particularly batting averages and performance metrics

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics 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 @ 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
    arya
    -0.88
    quest
    -0.72
     Solitaire
    -0.67
     Flavoring
    -0.61
    udeb
    -0.61
     recons
    -0.61
     conting
    -0.60
     governors
    -0.59
    hai
    -0.58
     Mub
    -0.57
    POSITIVE LOGITS
    /.
    1.54
     batting
    1.03
    -.
    1.01
     hitter
    1.01
     AVG
    0.84
     avg
    0.79
    mph
    0.79
    /+
    0.78
    /,
    0.78
     batted
    0.76
    Activations Density 0.032%

    No Known Activations