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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. 20128
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    Explanations

    attendees or event participants in large gatherings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of people participating in events or gatherings

    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
     Beaver
    -0.67
     Butt
    -0.64
    enthal
    -0.63
     Pharma
    -0.63
     Bust
    -0.62
     surgeon
    -0.62
     Surgery
    -0.61
     Azerb
    -0.60
     tooth
    -0.60
    redo
    -0.60
    POSITIVE LOGITS
    hip
    0.95
    goers
    0.90
    paces
    0.83
    ervatives
    0.80
     attendees
    0.79
    enary
    0.74
    rences
    0.72
    aurus
    0.72
    ubs
    0.71
    DragonMagazine
    0.71
    Activations Density 0.038%

    No Known Activations