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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. 11-RES-JB
    11. 3583
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    Explanations

    phrases related to engineering and structural integrity

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to engineering and structural integrity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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     pissed
    -0.95
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    shit
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    -0.84
     messing
    -0.83
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    -0.82
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     Shit
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    POSITIVE LOGITS
     minim
    0.99
     facilitate
    0.97
     optim
    0.94
     anticipate
    0.93
     preclude
    0.92
     optimize
    0.92
     maxim
    0.92
     thereby
    0.91
     minimize
    0.89
     accommod
    0.88
    Activations Density 0.473%

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