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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. 0-RES-JB
    6. 4708
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    INDEX
    Explanations

    movie titles or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to film and ratings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disruption
    -0.70
     Disclosure
    -0.68
     NR
    -0.66
     NX
    -0.66
     Dalai
    -0.63
     Coord
    -0.61
     closure
    -0.61
     Explain
    -0.61
     LTD
    -0.59
     closures
    -0.59
    POSITIVE LOGITS
    otten
    3.49
    ween
    2.84
     stra
    1.65
    uries
    1.33
    ippi
    1.09
    pload
    0.94
    ingen
    0.93
    seless
    0.91
    ulp
    0.88
    ixt
    0.87
    Activations Density 0.033%

    No Known Activations