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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. 7-RES-JB
    11. 23949
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    Explanations

    expressions of gratitude or thanks

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and appreciation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     blamed
    -0.78
     Worse
    -0.77
     endif
    -0.64
    toggle
    -0.63
    oiler
    -0.63
    ħĭ
    -0.62
    Qaida
    -0.61
    ¶ħ
    -0.61
    soDeliveryDate
    -0.60
    hem
    -0.60
    POSITIVE LOGITS
     generosity
    0.74
     patronage
    0.71
     patience
    0.68
    smanship
    0.66
     fruitful
    0.65
     courage
    0.64
     hospitality
    0.63
     journey
    0.63
     inconvenience
    0.62
     Sutherland
    0.62
    Activations Density 0.279%

    No Known Activations