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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. 4-RES-JB
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    Explanations

    instances of the word "Defense" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Defense" in various contexts

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

    No Comments

    Negative Logits
    olics
    -0.72
    upper
    -0.71
    pel
    -0.69
    bern
    -0.68
    hell
    -0.68
    isters
    -0.67
    otin
    -0.67
    colo
    -0.66
    shot
    -0.66
    hey
    -0.65
    POSITIVE LOGITS
     Defense
    1.02
     contractor
    0.95
     Forces
    0.88
     contractors
    0.85
     ministry
    0.82
     Ministry
    0.82
     Memor
    0.80
     Department
    0.80
     Authorization
    0.79
     Dept
    0.79
    Activations Density 0.018%

    No Known Activations