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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. 7-RES-JB
    11. 5196
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    Explanations

    words related to sharp objects like knives

    oai_token-act-pair · gpt-3.5-turbo

    references to knives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mberg
    -0.91
    rix
    -0.81
    tainment
    -0.80
    rian
    -0.79
    ysical
    -0.78
    rians
    -0.76
     Gutenberg
    -0.76
    oday
    -0.73
     Emin
    -0.72
    ICAN
    -0.71
    POSITIVE LOGITS
     blade
    1.05
     scissors
    1.03
     blades
    1.02
     knives
    1.00
    knife
    0.97
     knife
    0.97
    tips
    0.90
     cutter
    0.89
    blade
    0.88
     wielded
    0.87
    Activations Density 0.043%

    No Known Activations