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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. 9-RES-JB
    11. 23604
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    INDEX
    Explanations

    terms related to sports, particularly baseball

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of sports team players and their roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Greenpeace
    -0.83
    Bloomberg
    -0.75
    MIT
    -0.74
    summary
    -0.71
     recount
    -0.70
    GES
    -0.69
    trip
    -0.68
    CNN
    -0.68
    Journal
    -0.68
     Times
    -0.66
    POSITIVE LOGITS
     talented
    1.33
     talent
    1.30
     rookies
    1.26
     roster
    1.23
     rosters
    1.15
     replacements
    1.14
     starters
    1.08
     freshmen
    1.08
     inexper
    1.07
     marquee
    1.07
    Activations Density 0.637%

    No Known Activations