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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. 10-RES-JB
    6. 1720
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    Explanations

    words within a dialogue often followed by quotation marks such as 'I,' 'said,' or 'asked.'

    oai_token-act-pair · gpt-3.5-turbo

    instances of characters speaking or dialogue in conversations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     confir
    -0.70
     fres
    -0.69
     undermin
    -0.67
     identity
    -0.64
    utterstock
    -0.63
     wedd
    -0.63
     representation
    -0.63
    oÄŁ
    -0.62
     moder
    -0.61
     helicop
    -0.60
    POSITIVE LOGITS
    ³³³³³³³³
    1.08
    ³³³
    1.05
    ³³³³
    1.01
    "...
    0.96
    "â̦
    0.92
    ::::::::
    0.89
    ³³³³³³³³³³³³³³³³
    0.85
    "-
    0.84
    xxxxxxxx
    0.83
    Suddenly
    0.82
    Activations Density 0.123%

    No Known Activations