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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    references to enemies, threats, and military contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "enemy" in various contexts related to conflict or military situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    auntlets
    -0.85
    hots
    -0.81
    mberg
    -0.80
    eret
    -0.79
    oled
    -0.77
    regon
    -0.75
    razil
    -0.74
    20439
    -0.73
    ifting
    -0.72
    ucket
    -0.71
    POSITIVE LOGITS
     Enemy
    1.14
     enemy
    1.12
     foe
    0.99
     combatants
    0.93
    enemy
    0.92
     adversary
    0.87
     enemies
    0.81
     adversaries
    0.76
     vanquished
    0.76
     takeover
    0.73
    Activations Density 0.009%

    No Known Activations