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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. 1-RES-JB
    11. 23011
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    INDEX
    Explanations

    mentions of military-related terms and concepts

    oai_token-act-pair · gpt-3.5-turbo

    words related to the military

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DAY
    -0.85
    20439
    -0.83
    lihood
    -0.79
     GOODMAN
    -0.75
     Blessed
    -0.74
    ç«
    -0.73
    atron
    -0.73
    âĸ¬
    -0.72
     Bout
    -0.71
     Nig
    -0.69
    POSITIVE LOGITS
     fatig
    1.07
     acad
    1.00
     personnel
    0.99
     academy
    0.96
     contractor
    0.95
     military
    0.95
     commanders
    0.90
     veter
    0.90
     occupation
    0.89
     practition
    0.89
    Activations Density 0.024%

    No Known Activations