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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. 10-RES-JB
    11. 8260
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    Explanations

    verbs related to activities or actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of usage and applications of materials or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    NFL
    -0.72
    Netflix
    -0.70
    Privacy
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    externalActionCode
    -0.68
    lando
    -0.68
    Politics
    -0.66
    UFC
    -0.66
    Labour
    -0.66
    NBA
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    Marginal
    -0.66
    POSITIVE LOGITS
     this
    1.09
     these
    1.07
     it
    0.87
     specimens
    0.85
     versions
    0.76
    these
    0.76
    this
    0.75
     them
    0.72
     variants
    0.72
     such
    0.72
    Activations Density 0.758%

    No Known Activations