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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. 6-RES-JB
    11. 18806
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    Explanations

    mentions of community events and locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of large gatherings or public events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    milo
    -0.70
     Lifetime
    -0.66
     matured
    -0.66
     causation
    -0.66
    inventoryQuantity
    -0.64
     Dating
    -0.63
    £ı
    -0.62
     intrinsic
    -0.61
     Principle
    -0.60
     XY
    -0.58
    POSITIVE LOGITS
     makeshift
    0.95
     onlook
    0.89
     barric
    0.86
     tents
    0.83
     chanting
    0.79
     spectators
    0.78
     balcon
    0.78
     blockade
    0.77
     passers
    0.77
     sidewalks
    0.77
    Activations Density 0.755%

    No Known Activations