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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. 17362
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    Explanations

    phrases related to effort or attention

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "bother" in various contexts

    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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    No Comments

    Negative Logits
    thirds
    -0.71
    arta
    -0.70
    gemony
    -0.68
    INAL
    -0.67
    hematic
    -0.66
    ergy
    -0.66
    rahim
    -0.66
    omaly
    -0.65
    anmar
    -0.65
    ortex
    -0.64
    POSITIVE LOGITS
     bothering
    1.06
     mentioning
    1.05
     bother
    0.91
     reminding
    0.90
     to
    0.88
     bothered
    0.84
     contacting
    0.84
     addressing
    0.83
     discussing
    0.80
     registering
    0.80
    Activations Density 0.056%

    No Known Activations