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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. 4-RES-JB
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people

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

    No Comments

    Negative Logits
     âĢº
    -0.71
    ģĸ
    -0.67
    mble
    -0.63
     partName
    -0.63
     âĹ
    -0.62
    intendo
    -0.62
    ciation
    -0.60
    ymm
    -0.59
    ampunk
    -0.59
     {}
    -0.59
    POSITIVE LOGITS
     himself
    0.73
    kson
    0.71
     ineligible
    0.67
     unworthy
    0.61
    rompt
    0.60
     accuser
    0.59
    SON
    0.56
    zon
    0.56
     unfit
    0.56
    owan
    0.56
    Activations Density 0.574%

    No Known Activations