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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. 11-RES-JB
    11. 13546
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    Explanations

    numerical values

    oai_token-act-pair · gpt-3.5-turbo

    elements related to structure or components of a system

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hoe
    -0.62
    advertising
    -0.59
    liv
    -0.59
    Twitter
    -0.58
    watching
    -0.58
    Watch
    -0.57
    eur
    -0.57
    SHARE
    -0.56
    Secretary
    -0.55
    efe
    -0.55
    POSITIVE LOGITS
     integers
    0.91
     sizes
    0.91
     each
    0.86
     variants
    0.84
     combinations
    0.84
     parentheses
    0.83
     exceptions
    0.82
     layouts
    0.81
     originals
    0.80
     embodiments
    0.80
    Activations Density 0.563%

    No Known Activations