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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
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    Explanations

    expressions of gratitude or debt

    oai_token-act-pair · gpt-3.5-turbo

    expressions of obligation or gratitude

    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
    ready
    -0.78
    nets
    -0.78
    aneous
    -0.76
    aneously
    -0.76
     Expand
    -0.75
    ergy
    -0.74
    ics
    -0.70
    dar
    -0.69
    isol
    -0.68
    ocol
    -0.67
    POSITIVE LOGITS
     allegiance
    1.13
     repayment
    0.86
     forgiveness
    0.86
     gratitude
    0.85
     apologies
    0.85
     repay
    0.82
     owed
    0.81
    gers
    0.80
     homage
    0.80
     forgiven
    0.78
    Activations Density 0.023%

    No Known Activations