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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    references to military enemies

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "enemy" in various contexts

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

    No Comments

    Negative Logits
    ascript
    -0.82
    hots
    -0.82
    auntlets
    -0.78
    oled
    -0.78
    phrine
    -0.78
    mberg
    -0.77
    ucket
    -0.75
    acebook
    -0.75
    printed
    -0.74
    orrow
    -0.73
    POSITIVE LOGITS
     enemy
    1.03
     Enemy
    0.97
     combatants
    0.92
     foe
    0.89
     takeover
    0.85
     adversary
    0.83
     spouse
    0.82
    enemy
    0.80
     invasion
    0.80
     encro
    0.75
    Activations Density 0.015%

    No Known Activations