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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. 9-RES-JB
    11. 7357
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    Explanations

    phrases related to warnings and precautions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a lack of pretense or straightforward communication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.67
    alties
    -0.66
    nels
    -0.64
    arov
    -0.62
     lining
    -0.62
     Beir
    -0.61
    nell
    -0.59
    ussia
    -0.59
    netflix
    -0.58
    leton
    -0.57
    POSITIVE LOGITS
     disclaimer
    0.92
     recap
    0.91
     summar
    0.90
     summarize
    0.88
     briefly
    0.83
     reiterate
    0.83
     paraph
    0.80
     understatement
    0.79
     bre
    0.78
     rant
    0.78
    Activations Density 0.623%

    No Known Activations