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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. 9-RES-JB
    11. 23989
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    INDEX
    Explanations

    phrases indicating progress or achievement

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with economic or market trends

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onymous
    -0.74
    odied
    -0.67
     photographed
    -0.65
    romy
    -0.63
    liv
    -0.62
    thia
    -0.60
    uala
    -0.59
     liter
    -0.59
     hijab
    -0.58
     invented
    -0.57
    POSITIVE LOGITS
     optimism
    0.88
     reconsider
    0.83
     caution
    0.73
     contender
    0.73
     underest
    0.73
     patience
    0.73
     bullish
    0.72
     doom
    0.71
     pessim
    0.71
     disappointment
    0.71
    Activations Density 0.875%

    No Known Activations