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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. 18137
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    Explanations

    words related to aerial surveillance or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to aerial activities or operations

    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
    士
    -0.90
    esson
    -0.88
    Else
    -0.77
    shire
    -0.76
    bard
    -0.72
    hood
    -0.69
    urion
    -0.69
    tta
    -0.69
    essee
    -0.68
    aunder
    -0.68
    POSITIVE LOGITS
     aerial
    1.03
    plane
    0.95
     refuel
    0.88
     spraying
    0.86
     reconnaissance
    0.84
     drones
    0.80
     photography
    0.77
    planes
    0.76
     bombardment
    0.75
     flights
    0.75
    Activations Density 0.006%

    No Known Activations