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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. 1-RES-JB
    11. 22233
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    Explanations

    keywords related to composite materials

    oai_token-act-pair · gpt-3.5-turbo

    references to composite materials or media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.77
    bell
    -0.73
    olics
    -0.72
    kers
    -0.71
    orses
    -0.69
    à¥
    -0.68
    carry
    -0.67
    sent
    -0.67
    inen
    -0.65
    kamp
    -0.65
    POSITIVE LOGITS
     composite
    1.21
     mosaic
    0.91
     Composite
    0.90
     enhancement
    0.77
     enhancements
    0.75
     compos
    0.72
     versions
    0.72
    iliary
    0.70
    milo
    0.70
     components
    0.69
    Activations Density 0.006%

    No Known Activations