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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. 11389
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    INDEX
    Explanations

    phrases about learning, lessons, and acquiring new knowledge

    oai_token-act-pair · gpt-3.5-turbo

    references to learning and lessons

    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
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    Negative Logits
    cohol
    -0.77
    vertisement
    -0.73
    lished
    -0.66
    istent
    -0.65
    olphins
    -0.62
    pec
    -0.61
    orescent
    -0.61
    ucci
    -0.61
    pload
    -0.60
    holder
    -0.60
    POSITIVE LOGITS
     lesson
    1.22
     firsthand
    1.05
     lessons
    1.00
     tricks
    0.92
     basics
    0.88
     skills
    0.82
     Lessons
    0.81
     Course
    0.79
     ropes
    0.77
     nuances
    0.75
    Activations Density 0.152%

    No Known Activations