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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. 9-RES-JB
    6. 14941
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    INDEX
    Explanations

    phrases related to quotes or statements made by various individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of news organizations or press sources

    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
     diaper
    -0.60
     veter
    -0.56
    atible
    -0.54
     doesnt
    -0.54
     viz
    -0.53
     favourites
    -0.52
    animate
    -0.51
     precon
    -0.51
     harms
    -0.50
     unfocusedRange
    -0.49
    POSITIVE LOGITS
    .
    0.93
    .</
    0.81
    ."
    0.77
    .).
    0.75
     sarcast
    0.73
     ."
    0.70
     quoted
    0.70
    lied
    0.69
    .]
    0.69
     rhet
    0.69
    Activations Density 0.196%

    No Known Activations