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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. 4-RES-JB
    11. 2002
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    Explanations

    mentions of air-related activities or events

    oai_token-act-pair · gpt-3.5-turbo

    references to air operations and strikes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     ç¥ŀ
    -0.73
     Cla
    -0.73
     Millenn
    -0.72
     Ys
    -0.72
    Else
    -0.71
    ¢
    -0.70
     Snyder
    -0.70
    çĶŁ
    -0.67
    utical
    -0.66
     Principles
    -0.65
    POSITIVE LOGITS
    plane
    1.22
    planes
    1.13
    raid
    1.04
    waves
    1.03
     reconnaissance
    0.99
     refuel
    0.99
    crew
    0.95
     superiority
    0.94
     conditioning
    0.91
    lift
    0.89
    Activations Density 0.024%

    No Known Activations