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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. 16665
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    INDEX
    Explanations

    phrases related to different aspects of work such as productivity, skills, and commitment

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with creative or professional work and its products

    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
    utenant
    -0.78
     Samar
    -0.70
     Brit
    -0.68
    interstitial
    -0.66
    wered
    -0.65
    imov
    -0.64
    lehem
    -0.63
    ionage
    -0.63
    yip
    -0.63
     Stern
    -0.62
    POSITIVE LOGITS
     habits
    1.13
     choices
    1.12
     repertoire
    1.07
     regimen
    1.01
     endeavors
    1.00
     philosophies
    1.00
     practices
    0.96
     histories
    0.95
     arsenal
    0.95
    ographies
    0.94
    Activations Density 0.426%

    No Known Activations