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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. 4935
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    Explanations

    people's names in news articles or reports

    oai_token-act-pair · gpt-3.5-turbo

    specific names of individuals mentioned 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¡
    -0.73
    CRE
    -0.71
    /
    -0.66
    ãĥ¬
    -0.66
    category
    -0.64
    é¾įå¥ij士
    -0.64
    soType
    -0.63
    Americ
    -0.62
    tml
    -0.62
     Dresden
    -0.61
    POSITIVE LOGITS
     denies
    1.15
     responded
    1.10
     denied
    1.03
     apologized
    1.03
     countered
    1.01
     replied
    1.00
     declined
    0.96
     himself
    0.95
     refused
    0.93
     responds
    0.93
    Activations Density 0.457%

    No Known Activations