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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. 2-RES-JB
    6. 20524
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    Explanations

    descriptions related to visual imagery

    oai_token-act-pair · gpt-3.5-turbo

    references to visual elements or artworks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vol
    -0.90
    bern
    -0.86
    ber
    -0.82
    clud
    -0.78
    cop
    -0.75
    TAIN
    -0.72
    士
    -0.71
    ney
    -0.70
    rament
    -0.69
    berman
    -0.68
    POSITIVE LOGITS
     imagery
    0.97
     artwork
    0.87
     visuals
    0.86
    allery
    0.74
     rendition
    0.73
     signage
    0.72
    icz
    0.71
     grounding
    0.70
    ulkan
    0.69
    fulness
    0.69
    Activations Density 0.043%

    No Known Activations