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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. 12-RES-JB
    11. 2549
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    INDEX
    Explanations

    dates and events mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to publication dates and locations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ãĤ¼
    -0.47
    ĸļ
    -0.44
    channelAvailability
    -0.43
    ãĥĩãĤ£
    -0.42
    ciation
    -0.40
     tremend
    -0.39
     trope
    -0.37
    ãĥĥãĥī
    -0.37
     versa
    -0.37
     blah
    -0.37
    POSITIVE LOGITS
    ,
    0.57
    ,[
    0.56
    ,,
    0.50
    ®,
    0.49
     ,
    0.47
     at
    0.45
     Advocate
    0.43
     09
    0.41
    *,
    0.41
     in
    0.41
    Activations Density 0.851%

    No Known Activations