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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. 3-RES-JB
    11. 16474
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    Explanations

    names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to individuals or specific entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     ancest
    -0.61
     redistributed
    -0.52
     gradient
    -0.51
     cytok
    -0.50
     psychiat
    -0.49
     casualty
    -0.49
    $$$$
    -0.49
     recycled
    -0.49
     subdiv
    -0.49
     feder
    -0.48
    POSITIVE LOGITS
    ius
    0.75
    ich
    0.73
    oche
    0.71
    ak
    0.69
    ansky
    0.69
    ema
    0.69
    je
    0.69
    ai
    0.69
    oni
    0.68
    oy
    0.68
    Activations Density 0.906%

    No Known Activations