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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. 11-RES-JB
    11. 17160
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    Explanations

    questions or expressions related to confusion or surprise

    oai_token-act-pair · gpt-3.5-turbo

    expressions of confusion or disbelief

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     seldom
    -0.73
     rarely
    -0.67
    WAYS
    -0.65
    velop
    -0.63
     newsletters
    -0.61
    gard
    -0.60
     preferably
    -0.59
     flexibility
    -0.58
     Transparency
    -0.57
    adle
    -0.57
    POSITIVE LOGITS
     transpired
    1.24
     happened
    1.24
     caused
    1.17
     triggered
    0.96
     sparked
    0.95
     drove
    0.94
     motivated
    0.93
     provoked
    0.92
     went
    0.91
     happ
    0.90
    Activations Density 0.236%

    No Known Activations