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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
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    Explanations

    opponents or adversarial relationships

    oai_token-act-pair · gpt-3.5-turbo

    references to adversaries or opponents in various contexts

    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
    ories
    -0.72
    minster
    -0.63
    anches
    -0.61
     Stories
    -0.61
    hes
    -0.59
    herty
    -0.59
    stones
    -0.58
    Read
    -0.57
     Management
    -0.57
     Quartz
    -0.56
    POSITIVE LOGITS
     opponent
    3.89
     opponents
    2.84
     foe
    2.40
     adversary
    2.33
     foes
    1.99
     enemy
    1.94
     challenger
    1.88
     adversaries
    1.75
     opposing
    1.61
     enemies
    1.57
    Activations Density 0.019%

    No Known Activations