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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. 7-RES-JB
    11. 7762
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    Explanations

    statistics presented in a specific format: "one in X" followed by a noun or a verb

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "one in [number]."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     withd
    -0.69
    ãĤ´ãĥ³
    -0.69
     ens
    -0.64
     kindly
    -0.63
    WHERE
    -0.61
     ben
    -0.60
    WER
    -0.59
     momentarily
    -0.56
     notwithstanding
    -0.56
     vocals
    -0.56
    POSITIVE LOGITS
    patient
    1.10
    organic
    1.03
    escap
    0.99
    animate
    0.99
    ordinate
    0.97
    clusions
    0.97
    clusively
    0.96
    authent
    0.89
    clus
    0.89
    humane
    0.88
    Activations Density 0.067%

    No Known Activations