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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. 11906
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    Explanations

    detailed and thorough descriptions or analyses within a text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to thoroughness and detail in writing

    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
    soDeliveryDate
    -0.83
    enos
    -0.78
    isu
    -0.74
     wisely
    -0.73
    è£ħ
    -0.71
    asio
    -0.68
    ubb
    -0.67
     lucky
    -0.67
    artifacts
    -0.67
    unknown
    -0.65
    POSITIVE LOGITS
     examination
    1.16
    bred
    1.09
     description
    1.07
     breakdown
    1.05
     explanation
    1.03
     analysis
    1.02
     rundown
    1.02
     overview
    1.02
     descriptions
    1.00
     coverage
    0.99
    Activations Density 0.092%

    No Known Activations