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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. 10-RES-JB
    11. 4463
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    contrasting situations or perspectives

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     unlaw
    -0.61
    anus
    -0.57
     oun
    -0.57
    ĸļ
    -0.56
    ilater
    -0.55
    mary
    -0.55
    Orig
    -0.52
    Redd
    -0.51
     VIDEOS
    -0.51
    cffff
    -0.51
    POSITIVE LOGITS
    ,
    0.86
    ,...
    0.71
    ,,
    0.71
    .,
    0.70
    ãĢģ
    0.66
    ...?
    0.65
    ,—
    0.65
    ,-
    0.64
    ...
    0.64
    ..
    0.64
    Activations Density 0.020%

    No Known Activations