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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 8448
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    Explanations

    questions or expressions of confusion

    oai_token-act-pair · gpt-3.5-turbo

    expressions of confusion or questioning about current events

    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
    Not in Any Lists

    No Comments

    Negative Logits
     rarely
    -0.63
    unal
    -0.61
    gard
    -0.60
     attest
    -0.59
    ahime
    -0.57
     coasts
    -0.57
     shores
    -0.57
     broadly
    -0.56
     globally
    -0.56
    udos
    -0.55
    POSITIVE LOGITS
     gonna
    0.89
     bothering
    0.88
     transpired
    0.87
     happened
    0.85
     happening
    0.83
     causing
    0.78
     going
    0.76
     happ
    0.72
     motivating
    0.72
    âĹ¼
    0.72
    Activations Density 0.175%

    No Known Activations