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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. 1-RES-JB
    11. 13478
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    Explanations

    occurrences of specific technical terms

    oai_token-act-pair · gpt-3.5-turbo

    specific terminology and definitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    adra
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    -0.65
     Geh
    -0.63
     Kats
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    psey
    -0.62
    ersen
    -0.61
    POSITIVE LOGITS
    marks
    0.90
     Term
    0.84
    Term
    0.82
    term
    0.82
    stack
    0.81
     Definition
    0.80
    sworth
    0.79
     term
    0.79
    ames
    0.78
    tag
    0.77
    Activations Density 0.016%

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