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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. 11688
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    Explanations

    lessons or teachings

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to lessons and learning experiences

    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
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    Negative Logits
     occupancy
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    endars
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     lobb
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    idays
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    FP
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    omin
    -0.59
    umbers
    -0.59
    oreal
    -0.58
     lobbying
    -0.58
    omination
    -0.58
    POSITIVE LOGITS
     Learned
    1.43
     learned
    1.22
     learnt
    1.15
    Lear
    1.13
     lessons
    1.06
     lesson
    1.06
     taught
    0.97
    learn
    0.97
     Teach
    0.91
     Lessons
    0.83
    Activations Density 0.044%

    No Known Activations