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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. 12-RES-JB
    6. 17787
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    Explanations

    words related to communications or interactions between people, especially in the context of receiving or responding to messages

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    words that express uncertainty or lack of knowledge

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    ortex
    -0.74
    itone
    -0.68
     Handbook
    -0.66
    ffe
    -0.65
    irth
    -0.64
    essed
    -0.64
    ulators
    -0.64
    cffff
    -0.62
    veyard
    -0.62
     horm
    -0.61
    POSITIVE LOGITS
     else
    1.30
     substantive
    1.10
     meaningful
    1.06
     conclusive
    1.05
     whatsoever
    1.00
     unusual
    0.99
     resembling
    0.98
     worthwhile
    0.96
     noteworthy
    0.95
     nefarious
    0.94
    Activations Density 0.088%

    No Known Activations