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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. 8-RES-JB
    11. 11504
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    Explanations

    numerical data, statistics, and results mentioned in reports or studies

    oai_token-act-pair · gpt-3.5-turbo

    statistical data and numerical information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emis
    -0.78
     Quit
    -0.76
    mods
    -0.72
    doors
    -0.70
     Deals
    -0.68
    Joined
    -0.67
     etiquette
    -0.65
    sic
    -0.65
    Interstitial
    -0.64
     downtime
    -0.63
    POSITIVE LOGITS
     skewed
    1.06
     graphs
    0.96
     inflated
    0.95
     extrap
    0.91
     statistical
    0.91
     ballpark
    0.89
     projections
    0.88
     underestimate
    0.88
    antage
    0.87
    udge
    0.86
    Activations Density 0.420%

    No Known Activations