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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. 23954
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    Explanations

    stats related to sports performance, particularly batting and shooting percentages

    oai_token-act-pair · gpt-3.5-turbo

    instances of sports statistics and performance metrics

    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
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    Negative Logits
     Tale
    -0.71
     Moroc
    -0.63
     Duo
    -0.63
     pardon
    -0.62
    ortunately
    -0.62
     Sere
    -0.60
     Omega
    -0.59
     Norton
    -0.59
     Kore
    -0.58
     Tray
    -0.58
    POSITIVE LOGITS
    17
    0.84
    8
    0.84
    16
    0.83
    24
    0.82
    19
    0.82
    23
    0.82
    9
    0.80
    21
    0.79
    14
    0.79
    27
    0.78
    Activations Density 0.039%

    No Known Activations