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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. 11376
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    Explanations

    mentions of military air operations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to aerial military actions and 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
     Cla
    -0.73
     Principles
    -0.72
     Snyder
    -0.71
     Dough
    -0.68
     McKenna
    -0.68
     Cumber
    -0.67
    enance
    -0.67
     Barcl
    -0.67
     Kuh
    -0.67
     Tate
    -0.66
    POSITIVE LOGITS
    plane
    1.22
    planes
    1.17
    waves
    1.16
    raid
    1.05
    crew
    0.98
     conditioning
    0.96
     refuel
    0.96
     superiority
    0.90
     reconnaissance
    0.90
    dro
    0.89
    Activations Density 0.018%

    No Known Activations