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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. 4-RES-JB
    11. 15693
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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 @ 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
    ascript
    -0.86
    theless
    -0.85
    isance
    -0.72
    UTERS
    -0.66
    zsche
    -0.66
    mobi
    -0.64
    ropolitan
    -0.64
    miah
    -0.63
    Newsletter
    -0.63
     unic
    -0.62
    POSITIVE LOGITS
    uty
    0.71
     Ferry
    0.70
    Dragon
    0.68
    leon
    0.65
    EStreamFrame
    0.63
     Ninja
    0.62
    boxing
    0.61
     Shogun
    0.59
    Jet
    0.59
     Virus
    0.59
    Activations Density 0.389%

    No Known Activations