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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of the word "Dorner"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Dor"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Import
    -0.73
    ifact
    -0.71
    heat
    -0.71
     procedural
    -0.69
     export
    -0.67
    Export
    -0.67
     GST
    -0.67
     Export
    -0.66
     sweat
    -0.66
     animate
    -0.66
    POSITIVE LOGITS
     Dor
    3.82
    dor
    1.26
     Dob
    1.11
     Dah
    1.10
     Dol
    1.09
     Dunk
    1.08
     Pom
    1.07
     Lor
    1.06
     Du
    1.05
     Kor
    1.04
    Activations Density 0.023%

    No Known Activations