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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. 5403
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    INDEX
    Explanations

    reports and studies with key findings or conclusions

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific reports and studies

    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
    locks
    -0.78
    ivas
    -0.77
    stall
    -0.69
     pard
    -0.69
    animate
    -0.68
    pload
    -0.67
    twitch
    -0.67
    ivably
    -0.67
    ois
    -0.66
     jerk
    -0.65
    POSITIVE LOGITS
     study
    1.32
     findings
    1.23
    Study
    1.20
     analysis
    1.14
     report
    1.14
     researchers
    1.13
     Study
    1.11
     research
    1.09
    Researchers
    1.07
     analysed
    1.06
    Activations Density 0.453%

    No Known Activations