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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. 8-RES-JB
    11. 3187
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    Explanations

    proper nouns related to specific ethnic or religious groups

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various ethnic and racial groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.73
     increments
    -0.66
    Owner
    -0.65
     Sunshine
    -0.64
     McDonnell
    -0.63
     Sadd
    -0.61
     endorsements
    -0.60
    Delivery
    -0.59
     submission
    -0.57
     srfAttach
    -0.57
    POSITIVE LOGITS
    aurus
    1.21
    paces
    1.20
    ervative
    1.08
    pace
    1.07
    ervatives
    1.05
    hip
    0.98
    ourcing
    0.95
     who
    0.94
    folk
    0.94
    '
    0.94
    Activations Density 0.173%

    No Known Activations