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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. 6-RES-JB
    6. 5266
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urate
    -0.75
    edin
    -0.74
    yrics
    -0.70
    querque
    -0.68
    uties
    -0.68
    oday
    -0.67
    IDA
    -0.64
    ricular
    -0.64
    eeds
    -0.63
    ETS
    -0.63
    POSITIVE LOGITS
    naire
    0.78
     coined
    0.67
     nickname
    0.66
     Observatory
    0.65
    Offline
    0.65
     combo
    0.64
     compound
    0.63
     bloc
    0.63
     moniker
    0.63
    lux
    0.62
    Activations Density 0.675%

    No Known Activations