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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. 18549
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    INDEX
    Explanations

    titles or mentions of academic professionals, particularly professors

    oai_token-act-pair · gpt-3.5-turbo

    mentions of academic titles, specifically professors and their affiliations

    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
     spont
    -0.65
     Bundy
    -0.65
     Pradesh
    -0.63
    IER
    -0.63
    BAT
    -0.62
     mileage
    -0.61
     deployment
    -0.61
     compulsion
    -0.60
    Prince
    -0.59
    MSN
    -0.59
    POSITIVE LOGITS
     emer
    1.36
    essors
    1.11
    hips
    1.01
    iate
    0.99
     specializing
    0.98
     Emer
    0.96
    essor
    0.95
    itatively
    0.89
    ials
    0.88
    ially
    0.87
    Activations Density 0.045%

    No Known Activations