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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. 7-RES-JB
    6. 15517
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    INDEX
    Explanations

    numerical ranges expressed in a particular format

    oai_token-act-pair · gpt-3.5-turbo

    sections related to scores and statistics in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     detection
    -0.68
     clo
    -0.62
     appro
    -0.61
     appraisal
    -0.60
     BDS
    -0.60
     Narc
    -0.60
     literature
    -0.60
     solicitation
    -0.59
     puberty
    -0.59
     solicit
    -0.59
    POSITIVE LOGITS
    straight
    1.11
    year
    1.03
    iron
    0.99
    percent
    0.97
    degree
    0.97
    win
    0.97
    game
    0.97
    inch
    0.96
    plus
    0.95
    17
    0.95
    Activations Density 0.085%

    No Known Activations