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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 20050
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    Explanations

    prominent names or entities

    oai_token-act-pair · gpt-3.5-turbo

    unrecognized or unusual character representations

    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
    catentry
    -0.73
    iler
    -0.67
    perty
    -0.67
    =-=-
    -0.62
    Versions
    -0.62
     Reincarn
    -0.62
    nown
    -0.59
    ãĥ¯ãĥ³
    -0.59
    merga
    -0.58
    humans
    -0.58
    POSITIVE LOGITS
    ibrary
    0.81
    henko
    0.80
    heed
    0.80
    ounge
    0.79
    gow
    0.78
    oyd
    0.72
     Goodman
    0.72
    emort
    0.70
    inen
    0.70
    udic
    0.69
    Activations Density 0.481%

    No Known Activations