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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. 19433
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    INDEX
    Explanations

    words related to politics and government

    oai_token-act-pair · gpt-3.5-turbo

    references to names, organizations, and items related to sports and research

    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
    ournals
    -0.66
     camel
    -0.52
     Aram
    -0.49
     slump
    -0.48
    ilyn
    -0.47
     cour
    -0.46
     Pixar
    -0.46
    amar
    -0.46
    MAC
    -0.46
     tails
    -0.46
    POSITIVE LOGITS
    ibrary
    0.70
    abulary
    0.60
    overe
    0.60
    achev
    0.60
    henko
    0.57
    ombat
    0.57
    lycer
    0.57
    ãĥĺãĥ©
    0.55
    QL
    0.55
    gage
    0.53
    Activations Density 1.043%

    No Known Activations