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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. 6483
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    Explanations

    phrases related to military or armed conflict

    oai_token-act-pair · gpt-3.5-turbo

    references to military or armed forces in various contexts

    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
    Hop
    -0.86
    STER
    -0.77
    Ħ¢
    -0.74
    Brew
    -0.71
     Alley
    -0.71
    Dub
    -0.69
     Bout
    -0.69
    Bird
    -0.69
     Hop
    -0.69
    Sent
    -0.68
    POSITIVE LOGITS
     stationed
    0.98
     forces
    0.94
     mobilized
    0.94
     deployed
    0.91
     garrison
    0.91
     troops
    0.88
     colonel
    0.87
     force
    0.87
     loyal
    0.87
     fatig
    0.86
    Activations Density 0.019%

    No Known Activations