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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. 11-RES-JB
    11. 13015
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    INDEX
    Explanations

    references to surveys and data analysis

    oai_token-act-pair · gpt-3.5-turbo

    references to surveys and their findings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     amput
    -0.62
     Wiley
    -0.62
     rapp
    -0.61
     curry
    -0.60
    AFTA
    -0.60
    ACP
    -0.59
     Squirrel
    -0.59
     arsen
    -0.58
     Scully
    -0.58
     chopping
    -0.58
    POSITIVE LOGITS
     respondents
    1.22
     respondent
    1.15
    naire
    1.04
     conducted
    1.02
     methodology
    0.97
    oral
    0.96
     survey
    0.95
    ors
    0.92
     responses
    0.89
     questionnaire
    0.88
    Activations Density 0.053%

    No Known Activations