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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. 10-RES-JB
    11. 23210
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    INDEX
    Explanations

    mentions of surveys

    oai_token-act-pair · gpt-3.5-turbo

    mentions of surveys and their results

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rapp
    -0.66
     reserves
    -0.62
    burning
    -0.62
     arsen
    -0.62
    mph
    -0.61
     curry
    -0.61
     chopping
    -0.60
     marrow
    -0.60
    iris
    -0.59
     slic
    -0.59
    POSITIVE LOGITS
     respondents
    1.18
     respondent
    1.09
     conducted
    1.07
     survey
    0.97
    naire
    0.95
     questionnaire
    0.91
     methodology
    0.91
     surveys
    0.88
    naires
    0.87
    oral
    0.84
    Activations Density 0.040%

    No Known Activations