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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. 4-RES-JB
    6. 21826
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    Explanations

    words related to complexity

    oai_token-act-pair · gpt-3.5-turbo

    references to complexity in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    amina
    -0.68
    robe
    -0.67
    va
    -0.66
    enium
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     Citizens
    -0.64
    stead
    -0.61
    eve
    -0.60
    ber
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    vertising
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    POSITIVE LOGITS
     complexity
    0.89
    mble
    0.80
     complexities
    0.75
     Flavoring
    0.74
     complicate
    0.74
     cumbers
    0.73
    ioned
    0.71
     proble
    0.71
     nuances
    0.70
     overload
    0.70
    Activations Density 0.013%

    No Known Activations