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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    the word "Marine" in the context of the Marine Corps

    oai_token-act-pair · gpt-3.5-turbo

    references to the Marine Corps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    代
    -0.81
    rx
    -0.74
    atorial
    -0.73
    udder
    -0.71
    orative
    -0.71
    ourcing
    -0.70
    gets
    -0.69
    Known
    -0.69
    reddits
    -0.68
    ible
    -0.66
    POSITIVE LOGITS
     Corps
    1.17
     biologist
    0.93
     Marine
    0.93
     Mamm
    0.90
     infantry
    0.87
     Marines
    0.85
     Conservation
    0.84
     biologists
    0.83
     mammal
    0.79
     marines
    0.78
    Activations Density 0.005%

    No Known Activations