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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. 5-RES-JB
    6. 8897
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    Explanations

    terms related to military and political organizations

    oai_token-act-pair · gpt-3.5-turbo

    words related to military or armed conflict

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    swer
    -0.69
    egg
    -0.66
     patiently
    -0.65
    nces
    -0.65
    cond
    -0.64
    smanship
    -0.64
    words
    -0.64
     withstand
    -0.63
     Vive
    -0.63
    BOOK
    -0.63
    POSITIVE LOGITS
    ament
    1.05
    assed
    0.97
    eral
    0.95
    uary
    0.91
    rative
    0.90
    acion
    0.89
    arist
    0.88
    atem
    0.88
    ooter
    0.87
    agement
    0.87
    Activations Density 0.013%

    No Known Activations