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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    mentions of military personnel

    oai_token-act-pair · gpt-3.5-turbo

    references to military personnel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     affiliates
    -0.89
     Blocks
    -0.84
    Apps
    -0.80
    Rs
    -0.78
     Boards
    -0.75
    Blocks
    -0.74
    casters
    -0.73
     jurisdictions
    -0.70
     proponents
    -0.69
     LIC
    -0.69
    POSITIVE LOGITS
     soldier
    3.29
     Soldier
    2.16
     trooper
    1.66
     sailor
    1.60
     sergeant
    1.56
     warrior
    1.50
     colonel
    1.46
     policeman
    1.36
     soldiers
    1.36
     diplomat
    1.34
    Activations Density 0.028%

    No Known Activations