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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. 6453
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    Explanations

    phrases related to teaching or instructing someone

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to teaching and learning concepts

    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
    beck
    -0.75
    iture
    -0.75
    ãĤ»
    -0.73
    NetMessage
    -0.68
    bum
    -0.67
     Corker
    -0.65
    endez
    -0.63
    eca
    -0.63
     attm
    -0.63
     Shipping
    -0.62
    POSITIVE LOGITS
     lesson
    1.04
     curriculum
    1.03
     lessons
    1.02
     skills
    0.97
     taught
    0.96
     Teach
    0.95
     curric
    0.95
     teach
    0.94
     teaches
    0.94
     martial
    0.91
    Activations Density 0.249%

    No Known Activations