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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 17370
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    INDEX
    Explanations

    mentions of authority figures or entities

    oai_token-act-pair · gpt-3.5-turbo

    words that emphasize importance or significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reports
    -0.70
     Vaughan
    -0.70
     Rounds
    -0.69
     credits
    -0.69
     Emails
    -0.68
     reports
    -0.67
     upgrades
    -0.66
    ographs
    -0.66
     alerts
    -0.65
     Originally
    -0.65
    POSITIVE LOGITS
    rouse
    1.15
     lot
    1.06
    usterity
    1.04
     bunch
    0.96
     finite
    0.94
     particular
    0.93
    versive
    0.93
     plethora
    0.92
     few
    0.91
     hypothetical
    0.91
    Activations Density 0.905%

    No Known Activations