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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. 9-RES-JB
    11. 11158
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    terms related to honor and recognition

    oai_token-act-pair · gpt-3.5-turbo

    references to honor and related terms or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    _>
    -0.73
    arre
    -0.70
     Ange
    -0.67
    hesive
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    roads
    -0.63
     Lans
    -0.63
    sen
    -0.61
    tered
    -0.60
    sample
    -0.60
    arten
    -0.59
    POSITIVE LOGITS
    ific
    1.27
    ably
    1.16
    itism
    0.88
     honored
    0.84
    abilia
    0.83
     honoured
    0.82
     bestowed
    0.82
     honors
    0.82
    ABLE
    0.80
    ificial
    0.79
    Activations Density 0.050%

    No Known Activations