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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. 6-RES-JB
    6. 8591
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    Explanations

    phrases with words that are intended to be strong, emphasized, or highlighted

    oai_token-act-pair · gpt-3.5-turbo

    negative phrases related to disputes or conflicts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     modification
    -0.73
     Scotia
    -0.69
    oller
    -0.67
     Dickinson
    -0.65
     Harvey
    -0.64
     Noir
    -0.64
    pload
    -0.64
     Wiz
    -0.63
     Harrington
    -0.62
     DOI
    -0.62
    POSITIVE LOGITS
    advertising
    1.03
    bodied
    1.01
    by
    1.01
    average
    0.99
    through
    0.98
    enough
    0.98
    earth
    0.97
    fee
    0.97
    dead
    0.96
    law
    0.95
    Activations Density 0.085%

    No Known Activations