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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. 6-RES-JB
    11. 11711
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    Explanations

    phrases expressing caution or warning

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize caution and awareness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    installed
    -0.79
    tumblr
    -0.78
    inally
    -0.72
    orld
    -0.70
    etta
    -0.68
     congress
    -0.66
    ynthesis
    -0.66
    asio
    -0.65
    rie
    -0.65
    inals
    -0.64
    POSITIVE LOGITS
     lest
    1.08
     pitfalls
    0.88
    Avoid
    0.88
     Avoid
    0.86
     risks
    0.81
     beware
    0.80
     caution
    0.73
     limits
    0.72
     RIS
    0.72
    avoid
    0.72
    Activations Density 0.268%

    No Known Activations