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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. 9-RES-JB
    11. 9101
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    Explanations

    words related to military combat and operations

    oai_token-act-pair · gpt-3.5-turbo

    references to combat or military operations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gow
    -0.77
    eus
    -0.70
    ħĭ
    -0.69
    ocument
    -0.69
    arton
    -0.67
     Seym
    -0.62
    ocl
    -0.62
    Adds
    -0.60
     holder
    -0.59
     coerc
    -0.59
    POSITIVE LOGITS
    ant
    1.12
    ants
    1.11
    iveness
    1.11
    ments
    1.01
    ting
    0.98
    fighting
    0.85
     fatig
    0.84
     readiness
    0.82
    enegger
    0.82
    forces
    0.77
    Activations Density 0.065%

    No Known Activations