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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. 1-RES-JB
    11. 2349
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    Explanations

    phrases related to competition or confrontation

    oai_token-act-pair · gpt-3.5-turbo

    references to competitive matchups or confrontations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jar
    -0.81
    pots
    -0.79
    hops
    -0.78
    gow
    -0.78
    patch
    -0.77
    OGR
    -0.76
    AU
    -0.76
    hack
    -0.74
    collar
    -0.74
    overed
    -0.73
    POSITIVE LOGITS
     against
    1.05
    against
    0.84
     Against
    0.80
     opponent
    0.80
     opponents
    0.78
     behalf
    0.75
     disadvant
    0.72
     whom
    0.69
     oppression
    0.68
     adversity
    0.67
    Activations Density 0.055%

    No Known Activations