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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. 8-RES-JB
    11. 14424
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    INDEX
    Explanations

    statements about opinions or survey results

    oai_token-act-pair · gpt-3.5-turbo

    expressions of opinion or beliefs in survey results

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bart
    -0.79
    ranch
    -0.68
    jri
    -0.64
    ãĤ´ãĥ³
    -0.62
    pez
    -0.61
     Scrib
    -0.61
    EStreamFrame
    -0.61
    sequ
    -0.60
     Turtles
    -0.60
    omics
    -0.60
    POSITIVE LOGITS
     respondents
    0.92
     unfavorable
    0.80
     satisfaction
    0.77
     negatively
    0.77
     respondent
    0.75
     they
    0.74
    agree
    0.72
     disapprove
    0.71
     dissatisfied
    0.70
     favorably
    0.67
    Activations Density 0.096%

    No Known Activations