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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 333
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    !.
    -0.71
    .:
    -0.69
    ãĢĤ
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    .?
    -0.67
     :(
    -0.66
    .</
    -0.66
    ,,,,
    -0.65
    .$
    -0.61
    !!!!
    -0.61
    .","
    -0.61
    POSITIVE LOGITS
    -
    0.99
    âĢij
    0.68
    onian
    0.61
    âĢIJ
    0.60
    ographical
    0.58
    less
    0.56
    ially
    0.56
    -'
    0.56
    -(
    0.55
    -,
    0.55
    Activations Density 0.781%

    No Known Activations