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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. 22994
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    Explanations

    references to educational settings, particularly schools and classrooms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of educational environments and institutions

    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
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    No Comments

    Negative Logits
     Index
    -0.67
    ariat
    -0.60
     gubernatorial
    -0.60
     Amendment
    -0.59
     Electoral
    -0.59
    insula
    -0.57
     Quart
    -0.57
    iotic
    -0.56
     genus
    -0.55
    iom
    -0.55
    POSITIVE LOGITS
    rooms
    0.88
    speak
    0.79
    aturdays
    0.79
     circles
    0.75
     unnoticed
    0.71
    tests
    0.69
    planes
    0.67
    break
    0.67
    fights
    0.66
     tomorrow
    0.66
    Activations Density 0.253%

    No Known Activations