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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. 10-RES-JB
    6. 494
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    INDEX
    Explanations

    instances related to wars or battles

    oai_token-act-pair · gpt-3.5-turbo

    references to warfare and significant battles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Lisa
    -0.87
     DOE
    -0.82
    etsy
    -0.82
    Node
    -0.82
    Plug
    -0.81
    perm
    -0.80
    ethyst
    -0.80
    LED
    -0.78
    Ell
    -0.78
     Yelp
    -0.77
    POSITIVE LOGITS
     warfare
    2.00
     combatants
    1.83
     battles
    1.80
     wars
    1.76
     battlefield
    1.72
     war
    1.72
     battle
    1.67
     skirm
    1.64
    battle
    1.61
     fighting
    1.58
    Activations Density 0.618%

    No Known Activations