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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. 3966
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    Explanations

    technical jargon related to research and analysis

    oai_token-act-pair · gpt-3.5-turbo

    terms related to verification and assessment processes

    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
     Reincarnated
    -0.77
     Killed
    -0.77
     Killer
    -0.74
     Pigs
    -0.72
    Ö
    -0.72
     Yesterday
    -0.71
    inventoryQuantity
    -0.69
     Carnage
    -0.69
    ansion
    -0.69
    death
    -0.68
    POSITIVE LOGITS
     methodological
    1.11
     statistical
    1.00
     analytical
    1.00
     scholarly
    0.96
     analytic
    0.96
     informative
    0.96
     descriptive
    0.95
     exhaustive
    0.95
     jargon
    0.93
     journalistic
    0.92
    Activations Density 1.404%

    No Known Activations