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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. 16426
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    Explanations

    references to specific years

    oai_token-act-pair · gpt-3.5-turbo

    references to recent studies or reports

    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
     idols
    -0.83
    artifacts
    -0.78
    ammers
    -0.78
    Tags
    -0.76
    seekers
    -0.74
    blers
    -0.73
     rails
    -0.71
     centres
    -0.71
    ernels
    -0.70
     apes
    -0.69
    POSITIVE LOGITS
     interview
    1.19
     article
    1.16
     survey
    1.09
     statement
    1.09
     questionnaire
    1.03
     study
    1.02
     excerpt
    1.01
     report
    1.01
     memorandum
    1.00
     memo
    0.99
    Activations Density 0.115%

    No Known Activations