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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. 8-RES-JB
    11. 7964
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    Explanations

    negative sentiments or statements

    oai_token-act-pair · gpt-3.5-turbo

    negative phrases or words indicating lack or inadequacy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hov
    -0.71
     Lies
    -0.69
     scoff
    -0.67
     depreciation
    -0.65
     BUR
    -0.64
     Problems
    -0.63
     absurdity
    -0.63
     controversies
    -0.62
     Fired
    -0.61
    lag
    -0.61
    POSITIVE LOGITS
     adequately
    1.05
     timely
    0.91
     properly
    0.87
    responsive
    0.82
    fit
    0.81
     assimil
    0.80
     trustworthy
    0.79
     coherent
    0.78
     fit
    0.78
    atisf
    0.77
    Activations Density 0.690%

    No Known Activations