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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. 0-RES-JB
    11. 10057
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    INDEX
    Explanations

    words related to conflict and violence, particularly targeting or engaging with enemies

    oai_token-act-pair · gpt-3.5-turbo

    references to adversaries or opponents

    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
    Canada
    -0.68
    bach
    -0.67
    cker
    -0.65
    zzo
    -0.64
    aged
    -0.63
     Registered
    -0.63
    spective
    -0.63
     Suite
    -0.63
    wed
    -0.63
     Brisbane
    -0.62
    POSITIVE LOGITS
     enemies
    3.73
     foes
    2.90
     Enemies
    2.84
     adversaries
    2.67
     enemy
    2.64
     opponents
    2.29
    enemy
    2.23
     foe
    2.00
     Enemy
    2.00
     allies
    1.91
    Activations Density 0.016%

    No Known Activations