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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 23416
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    Explanations

    violent or conflict-related words, particularly related to arming and disarming

    oai_token-act-pair · gpt-3.5-turbo

    terms related to military or weaponry

    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
    order
    -0.70
    haps
    -0.67
     TBD
    -0.67
     dime
    -0.62
    Hyper
    -0.62
     RTX
    -0.61
     DX
    -0.60
    ml
    -0.60
    sell
    -0.59
     Skydragon
    -0.59
    POSITIVE LOGITS
    arming
    0.89
    ageddon
    0.84
    ingly
    0.79
    xual
    0.78
    armed
    0.78
    ament
    0.77
    ishly
    0.77
    emort
    0.76
    eering
    0.76
    achine
    0.75
    Activations Density 0.011%

    No Known Activations