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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. 6110
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    Explanations

    information related to specific events or discussions that include dates, places, and people

    oai_token-act-pair · gpt-3.5-turbo

    references to age or demographic details associated with crime and societal analysis

    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
     EVERY
    -0.72
    ,[
    -0.67
     Pastebin
    -0.60
     frivol
    -0.57
     AFTER
    -0.56
     everywhere
    -0.56
     anyway
    -0.56
     Gawker
    -0.54
     CoC
    -0.53
     BEFORE
    -0.52
    POSITIVE LOGITS
     respectively
    0.76
    isine
    0.68
    entimes
    0.65
    iHUD
    0.65
    idges
    0.64
    }.
    0.64
     pione
    0.61
    aired
    0.60
     latter
    0.60
    arthed
    0.60
    Activations Density 1.703%

    No Known Activations