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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

    references to armed forces

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of military and armed forces terminology

    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
    tle
    -0.77
    thumbnails
    -0.74
    Hart
    -0.74
    CAST
    -0.72
    quickShipAvailable
    -0.70
    Bloom
    -0.69
    Hor
    -0.67
    Hur
    -0.66
    Bird
    -0.65
     haunt
    -0.65
    POSITIVE LOGITS
     Creed
    0.82
     Command
    0.77
    doms
    0.75
    enture
    0.75
     salute
    0.73
     footing
    0.73
     posture
    0.72
    manship
    0.72
     bureaucracy
    0.70
     Personnel
    0.68
    Activations Density 0.047%

    No Known Activations