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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    expressions of gratitude, condolences, and warm wishes

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and sincerity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kod
    -0.72
    Trend
    -0.70
     Slate
    -0.68
    ILD
    -0.67
     Hosp
    -0.65
     iPads
    -0.63
     Nanto
    -0.63
    hyper
    -0.62
    aned
    -0.62
    clips
    -0.62
    POSITIVE LOGITS
     sincere
    1.22
    isSpecialOrderable
    0.97
     sincerely
    0.91
     sincerity
    0.90
    ilitary
    0.82
     heartfelt
    0.79
    leeve
    0.77
    mble
    0.75
     patriotic
    0.71
     apology
    0.71
    Activations Density 0.009%

    No Known Activations