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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. 5-RES-JB
    6. 16462
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    Explanations

    words related to things that are very highly emphasized or intensely focused on

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers related to popularity or significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ividual
    -0.73
    verts
    -0.71
    igi
    -0.69
    spection
    -0.69
     Therapy
    -0.68
     Farmers
    -0.66
     VIDEOS
    -0.66
     Dwell
    -0.66
     Thumbnails
    -0.65
    ylene
    -0.65
    POSITIVE LOGITS
    bitious
    0.80
     profitable
    0.79
     popular
    0.75
     improbable
    0.73
    efully
    0.73
     underrated
    0.73
     unlikely
    0.72
     impractical
    0.72
     ambitious
    0.72
     Important
    0.71
    Activations Density 0.019%

    No Known Activations