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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. 4015
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    Explanations

    adjectives that emphasize a high degree of something

    oai_token-act-pair · gpt-3.5-turbo

    the word "absolutely" in various contexts

    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
    engers
    -0.89
    bucks
    -0.86
    board
    -0.86
    ulative
    -0.85
    tein
    -0.79
    ocene
    -0.76
    ttp
    -0.75
    enegger
    -0.74
    ulton
    -0.73
    NetMessage
    -0.72
    POSITIVE LOGITS
     monog
    0.72
     qualitative
    0.68
    reme
    0.66
     delighted
    0.66
     satisfied
    0.65
    uracy
    0.64
    urious
    0.64
     bananas
    0.63
    olkien
    0.63
     positioned
    0.63
    Activations Density 0.012%

    No Known Activations