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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. 8-RES-JB
    11. 8561
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    Explanations

    proper nouns of people's names

    oai_token-act-pair · gpt-3.5-turbo

    prominent names of individuals related to various fields

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.94
     princ
    -0.75
     mathemat
    -0.73
     capitals
    -0.69
    CLASSIFIED
    -0.68
    Campaign
    -0.67
     secretaries
    -0.67
     conventions
    -0.65
     reconciliation
    -0.65
     appropriations
    -0.65
    POSITIVE LOGITS
     Chapman
    0.81
     Nguyen
    0.78
     Vo
    0.76
     McL
    0.74
     Noon
    0.73
     Sinclair
    0.73
     Malone
    0.73
     Esper
    0.72
     Cant
    0.72
     van
    0.71
    Activations Density 0.268%

    No Known Activations