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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. 23616
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    Explanations

    names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    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
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    No Comments

    Negative Logits
    rontal
    -0.65
    atre
    -0.65
    nown
    -0.64
     skelet
    -0.64
    accompan
    -0.63
     mathemat
    -0.63
    abre
    -0.63
    unal
    -0.63
     monop
    -0.62
     fortun
    -0.62
    POSITIVE LOGITS
    Pure
    0.67
    Äĵ
    0.64
    Track
    0.60
    igo
    0.58
    áµ
    0.58
     Young
    0.57
     Prescott
    0.57
    JA
    0.56
    Jenn
    0.55
    unit
    0.55
    Activations Density 0.652%

    No Known Activations