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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. 10556
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    INDEX
    Explanations

    verbs indicating actions or behaviors performed by individuals

    oai_token-act-pair · gpt-3.5-turbo

    frequent verbs and phrases indicating actions taken by individuals

    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
     Coach
    -0.67
     Mages
    -0.64
     Almighty
    -0.64
    ascript
    -0.62
    Ü
    -0.61
    `,
    -0.58
     thous
    -0.57
    ogun
    -0.56
     Sounds
    -0.56
     Guys
    -0.56
    POSITIVE LOGITS
    iw
    0.75
    conom
    0.75
    rake
    0.70
    ashtra
    0.67
    MpServer
    0.66
    zon
    0.66
    lect
    0.65
     outright
    0.65
    Reviewed
    0.65
    hurst
    0.64
    Activations Density 0.314%

    No Known Activations