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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. 7-RES-JB
    11. 3942
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    INDEX
    Explanations

    descriptions of professional athletes and their performances

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports performance and player evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Colleges
    -0.75
     Chapters
    -0.74
     Prohibition
    -0.72
    codes
    -0.71
     Students
    -0.70
     Verse
    -0.69
    "],"
    -0.69
     Elections
    -0.67
     Shank
    -0.67
     Investigation
    -0.67
    POSITIVE LOGITS
     underrated
    1.07
     Rookie
    0.95
     MVP
    0.91
     standout
    0.91
    Coach
    0.85
     rookie
    0.84
    uably
    0.83
     averaging
    0.82
     deserving
    0.82
     defensively
    0.81
    Activations Density 0.482%

    No Known Activations