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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. 0-RES-JB
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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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    agher
    -0.77
     sqor
    -0.77
    ipel
    -0.75
    ittal
    -0.72
    endez
    -0.72
    nex
    -0.65
    elight
    -0.64
    tnc
    -0.62
    amed
    -0.62
     Russo
    -0.62
    POSITIVE LOGITS
    ///
    0.75
    :/
    0.71
    GPU
    0.69
     Fet
    0.63
    âī
    0.63
    -----
    0.61
     Ratings
    0.60
    ========
    0.60
    ually
    0.59
    ãĥ¼ãĥĨãĤ£
    0.59
    Activations Density 0.000%

    No Known Activations