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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. 3-RES-JB
    11. 474
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    Explanations

    expressions of gratitude or credit given to someone

    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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Inferno
    -0.78
     Construct
    -0.76
     Fires
    -0.71
     Loft
    -0.70
     Osc
    -0.69
     Scorpion
    -0.69
    place
    -0.69
     Leap
    -0.65
    wide
    -0.63
    mouth
    -0.63
    POSITIVE LOGITS
     thank
    1.08
     thanking
    0.96
    gements
    0.95
    ĸļ
    0.91
     thanked
    0.89
    gments
    0.86
     acknowled
    0.86
    imaru
    0.82
    ifully
    0.81
    ESCO
    0.80
    Activations Density 0.012%

    No Known Activations