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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. 12490
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    Explanations

    courses, workshops, seminars, and classes

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to educational workshops and courses

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    alty
    -0.69
     reconciliation
    -0.65
     cyn
    -0.62
     repent
    -0.62
     hypocrisy
    -0.61
     veto
    -0.61
    agate
    -0.61
    conn
    -0.61
     quarrel
    -0.60
    iciary
    -0.60
    POSITIVE LOGITS
     taught
    1.16
     instructors
    1.11
     instructor
    1.04
     curriculum
    1.04
    Course
    0.99
     teaches
    0.98
     Instructor
    0.97
     instructional
    0.97
     Instruct
    0.96
     curric
    0.95
    Activations Density 0.143%

    No Known Activations