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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. 6-RES-JB
    11. 12874
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistical information

    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
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    Negative Logits
    .).
    -0.57
     bladder
    -0.54
    ).[
    -0.54
     blender
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     wholes
    -0.49
     behavi
    -0.49
     hemor
    -0.47
     etc
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     [&
    -0.46
    %).
    -0.45
    POSITIVE LOGITS
    \":
    0.74
    "]=>
    0.68
     Introduction
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    ":[
    0.64
    ":-
    0.64
    ::::::::
    0.62
    ":[{"
    0.61
    CHAPTER
    0.61
     SHARES
    0.60
    ESSION
    0.58
    Activations Density 0.404%

    No Known Activations