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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. 9-RES-JB
    11. 2566
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    Explanations

    references to adversaries or opponents in a competitive or conflict context

    oai_token-act-pair · gpt-3.5-turbo

    references to enemies in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    oled
    -0.76
    olyn
    -0.75
    isol
    -0.73
    ming
    -0.73
    uesday
    -0.73
    hetti
    -0.72
    mberg
    -0.71
    gres
    -0.69
    oots
    -0.69
    ajo
    -0.68
    POSITIVE LOGITS
     combatants
    1.14
     Enemy
    0.84
     enemy
    0.81
     foe
    0.78
     fighters
    0.76
     ambush
    0.76
     batter
    0.75
    enemy
    0.73
     defences
    0.72
    emy
    0.72
    Activations Density 0.051%

    No Known Activations