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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. 11-RES-JB
    11. 21667
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    Explanations

    parenthetical phrases

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and dashes, indicating an emphasis on structural elements of the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ãĤ®
    -0.61
    vae
    -0.60
    ccording
    -0.60
    ?:
    -0.57
    usp
    -0.56
    yon
    -0.56
    tek
    -0.55
    izen
    -0.55
    uber
    -0.54
    leground
    -0.54
    POSITIVE LOGITS
     but
    1.03
     whereas
    1.01
     so
    0.98
     plus
    0.87
     and
    0.87
     which
    0.84
     thereby
    0.84
     hence
    0.83
     resulting
    0.82
     lest
    0.82
    Activations Density 0.455%

    No Known Activations