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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. 8-RES-JB
    11. 2144
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to rules or restrictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĥ¼ãĥĨ
    -0.82
    aspers
    -0.69
    rane
    -0.68
    alam
    -0.66
    mble
    -0.64
    ãĥ¼ãĥĨãĤ£
    -0.63
    kinson
    -0.61
    UAL
    -0.61
    andise
    -0.60
     shell
    -0.59
    POSITIVE LOGITS
     whatsoever
    0.96
    onsense
    0.82
    urnal
    0.75
    brainer
    0.70
    ody
    0.67
    hawk
    0.67
    mber
    0.64
    oway
    0.60
    AAF
    0.59
     nor
    0.58
    Activations Density 0.104%

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