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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. 14996
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    Explanations

    specific addresses consisting of numbers and street names

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with measurements or addresses

    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
    idon
    -0.71
    alyses
    -0.71
    nam
    -0.71
    iqu
    -0.70
    icter
    -0.68
    ibaba
    -0.63
     cyn
    -0.62
    roma
    -0.61
    izations
    -0.61
     ransomware
    -0.59
    POSITIVE LOGITS
     sq
    1.00
    lb
    0.98
     miles
    0.95
     kHz
    0.95
    mAh
    0.94
    rpm
    0.92
     lbs
    0.90
     pound
    0.88
     rpm
    0.88
    lbs
    0.88
    Activations Density 0.151%

    No Known Activations