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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. 2168
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    Explanations

    scripting code related to web page manipulation

    oai_token-act-pair · gpt-3.5-turbo

    references to window locations and database operations in programming contexts

    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
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    Negative Logits
     Forth
    -0.76
     Boyle
    -0.72
    comings
    -0.70
     Torrent
    -0.67
     paran
    -0.67
    avery
    -0.66
     Adin
    -0.66
    soever
    -0.65
     ancest
    -0.65
     ABV
    -0.65
    POSITIVE LOGITS
    utils
    0.92
    ->
    0.91
    ['
    0.91
     +=
    0.89
    ["
    0.89
    Manager
    0.87
    ._
    0.84
     ._
    0.82
    ::
    0.80
    ascript
    0.80
    Activations Density 0.093%

    No Known Activations