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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. 1666
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    INDEX
    Explanations

    mentions of specific dates, locations, and people within journalistic context

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events and social commentary

    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
     doesnt
    -0.80
     whats
    -0.80
     didnt
    -0.76
    itives
    -0.73
    addons
    -0.71
     -->
    -0.69
     Pwr
    -0.69
     dont
    -0.69
    SPA
    -0.68
    Pokemon
    -0.67
    POSITIVE LOGITS
     essay
    1.11
     Slate
    1.10
     Pulitzer
    1.08
     Salon
    1.08
     Harvard
    1.03
     Newsweek
    1.03
     novelist
    1.02
     essays
    1.01
     Yale
    1.01
     NYU
    1.01
    Activations Density 0.729%

    No Known Activations