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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. 20272
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    Explanations

    timestamps in a specific format, typically occurring in news articles

    oai_token-act-pair · gpt-3.5-turbo

    various occurrences of time-related phrases and punctuation marks

    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
     Mechdragon
    -0.75
     metic
    -0.72
     imperson
    -0.70
     language
    -0.67
     executive
    -0.66
     modeling
    -0.65
     robotic
    -0.65
     scripting
    -0.64
     dict
    -0.62
     biome
    -0.62
    POSITIVE LOGITS
    Downloadha
    0.95
    sbm
    0.84
     Retrieved
    0.84
    facebook
    0.82
    arcity
    0.80
    govtrack
    0.80
    gz
    0.79
    ince
    0.78
    jpg
    0.77
    endment
    0.76
    Activations Density 0.148%

    No Known Activations