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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. 5-RES-JB
    6. 10649
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    Explanations

    words related to locations or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    periods or some form of punctuation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     withd
    -0.87
     cabbage
    -0.82
     inver
    -0.82
     nesting
    -0.79
     flowering
    -0.78
     awa
    -0.78
     challeng
    -0.78
     attacker
    -0.76
     tack
    -0.74
     crabs
    -0.74
    POSITIVE LOGITS
     Accessed
    1.19
    jpg
    1.07
     Retrieved
    1.04
    Org
    1.00
    txt
    0.96
    org
    0.94
     Located
    0.93
    esp
    0.92
     Learns
    0.92
    xxx
    0.91
    Activations Density 0.360%

    No Known Activations