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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. 7-RES-JB
    11. 9856
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    Explanations

    phrases related to expressing opinions or thoughts, often with a sense of emphasis or assertiveness

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express caution or warnings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilogy
    -0.77
    anded
    -0.73
    figured
    -0.72
    ially
    -0.71
    ettlement
    -0.69
    ledged
    -0.67
    venue
    -0.67
    ourses
    -0.67
    vind
    -0.67
    etts
    -0.66
    POSITIVE LOGITS
     yourselves
    1.03
     yourself
    1.00
     anymore
    0.95
     any
    0.82
     Yourself
    0.82
     ANY
    0.78
     spoilers
    0.74
     typo
    0.73
     exagger
    0.71
     distractions
    0.70
    Activations Density 0.143%

    No Known Activations