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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 3166
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    Explanations

    The main thing this neuron does is find nouns related to legal and financial issues

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names of people or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nath
    -0.92
    ayne
    -0.91
     CLA
    -0.88
     Shepard
    -0.86
     Miranda
    -0.80
     ay
    -0.74
    anni
    -0.74
    pard
    -0.74
    aint
    -0.72
     Holden
    -0.72
    POSITIVE LOGITS
    ub
    1.44
     Tub
    1.43
     Lob
    1.39
     Dob
    1.39
     Dub
    1.33
     Kub
    1.31
     Hub
    1.30
    Dub
    1.29
    UB
    1.28
    rub
    1.27
    Activations Density 0.425%

    No Known Activations