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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. 2-RES-JB
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    Explanations

    adjectives emphasizing extremeness or intensity

    oai_token-act-pair · gpt-3.5-turbo

    the word "absolutely" and its variations emphasizing strong emphasis or affirmation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulative
    -0.87
    bucks
    -0.87
    board
    -0.80
    engers
    -0.79
    ocene
    -0.78
    sonian
    -0.76
    tein
    -0.74
    enegger
    -0.71
    NetMessage
    -0.69
    boards
    -0.69
    POSITIVE LOGITS
     qualitative
    0.73
    urus
    0.71
    uracy
    0.71
    urious
    0.70
     monog
    0.69
     bananas
    0.68
    essential
    0.68
     unus
    0.66
    reme
    0.65
     sure
    0.64
    Activations Density 0.008%

    No Known Activations