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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. 4-RES-JB
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    expressions of gratitude

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude

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

    No Comments

    Negative Logits
    agate
    -0.72
    improve
    -0.70
    calling
    -0.67
    etc
    -0.64
    FO
    -0.64
    oto
    -0.61
     Painter
    -0.60
    change
    -0.60
    vari
    -0.60
    build
    -0.59
    POSITIVE LOGITS
     acknowled
    0.94
     citiz
    0.91
    gements
    0.88
     pardon
    0.83
    giving
    0.80
    NESS
    0.75
     gratitude
    0.75
     acknowledgment
    0.74
     grateful
    0.74
    ness
    0.74
    Activations Density 0.012%

    No Known Activations