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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. 9-RES-JB
    11. 15432
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    Explanations

    words related to challenges, controversy, and risk

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their usage in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.90
    izen
    -0.67
    args
    -0.64
    ãĥį
    -0.63
    ãĥ¯
    -0.62
    ¬¼
    -0.61
    iren
    -0.61
    atars
    -0.60
    isi
    -0.60
    acci
    -0.60
    POSITIVE LOGITS
     yeah
    1.23
     whereas
    1.07
     uh
    0.98
     blah
    0.97
     frankly
    0.96
     [
    0.94
     obviously
    0.94
     basically
    0.94
     because
    0.92
     but
    0.90
    Activations Density 0.333%

    No Known Activations