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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. 9-RES-JB
    6. 22590
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    Explanations

    specific phrases or terms that are technical or related to specific events or information

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns and phrases indicating significant events or entities

    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
    Footnote
    -0.85
    ugi
    -0.66
    obb
    -0.64
    ract
    -0.62
    edes
    -0.61
    Uncommon
    -0.59
    ils
    -0.57
    ãĥ´
    -0.57
     Fiber
    -0.57
    weed
    -0.57
    POSITIVE LOGITS
     at
    1.59
    at
    1.50
    At
    1.30
     At
    1.27
    atography
    1.08
     AT
    1.02
    AT
    0.87
    @
    0.87
     @
    0.87
    ats
    0.75
    Activations Density 0.251%

    No Known Activations