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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. 13827
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    Explanations

    mentions related to specific branches or aspects of the military, particularly the Marines

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Marine" and related contexts

    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
    reddits
    -0.80
    âĶģ
    -0.76
    ourcing
    -0.73
    medium
    -0.71
    irable
    -0.70
    icles
    -0.68
     cob
    -0.68
    heimer
    -0.68
    rx
    -0.66
    Ti
    -0.66
    POSITIVE LOGITS
     Corps
    1.30
     Mamm
    1.10
     biologist
    0.98
     Biological
    0.89
     biologists
    0.85
     Fisheries
    0.85
     barracks
    0.84
     mammal
    0.82
     Conservation
    0.81
     corps
    0.78
    Activations Density 0.040%

    No Known Activations