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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. 10-RES-JB
    11. 24548
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sentences that signify important events or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     hatch
    -0.79
     chimpan
    -0.73
     seiz
    -0.73
     freezer
    -0.72
     pudding
    -0.72
     sustained
    -0.71
     ogre
    -0.70
     favour
    -0.70
     effected
    -0.69
     covenant
    -0.69
    POSITIVE LOGITS
    Those
    1.46
    Another
    1.45
    As
    1.45
    In
    1.45
    Again
    1.45
    For
    1.44
    The
    1.44
    While
    1.44
    Finally
    1.44
    Anyone
    1.43
    Activations Density 0.202%

    No Known Activations