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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. 8-RES-JB
    11. 14246
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    INDEX
    Explanations

    phrases related to competition and proving oneself

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to proving oneself or demonstrating skill

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    20439
    -0.78
     instructions
    -0.75
     Procedures
    -0.72
     redacted
    -0.68
     advised
    -0.65
     preferring
    -0.64
    rology
    -0.63
     instructed
    -0.63
    artment
    -0.62
    raq
    -0.62
    POSITIVE LOGITS
     someday
    1.21
     unbeat
    0.94
     comeback
    0.93
    peat
    0.91
     greatness
    0.83
     momentum
    0.83
    iba
    0.81
     winning
    0.79
     parity
    0.78
     shine
    0.76
    Activations Density 0.519%

    No Known Activations