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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. 10-RES-JB
    6. 22864
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    Explanations

    specific mentions of built-in features or components in devices or software

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to built-in features or components of devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tart
    -0.65
     Swe
    -0.64
     Lol
    -0.58
     Ryder
    -0.57
     ¯
    -0.56
     diplom
    -0.55
     bothered
    -0.55
     wil
    -0.54
     Shapiro
    -0.54
     hus
    -0.54
    POSITIVE LOGITS
    up
    0.94
    fledged
    0.92
    library
    0.82
    estate
    0.80
    essential
    0.80
    ups
    0.80
    condition
    0.79
    in
    0.78
    fill
    0.76
    around
    0.76
    Activations Density 0.035%

    No Known Activations