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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 24476
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    Cyrillic characters, possibly indicating a neuron looking for text in a specific language or character encoding

    oai_token-act-pair · gpt-3.5-turbo

    sequences of special characters or symbols in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    ORED
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    aday
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    theless
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     Starr
    -0.63
    ãĥ¼ãĥĨ
    -0.63
    anwhile
    -0.62
    oleon
    -0.60
     Downing
    -0.60
    wagen
    -0.60
    POSITIVE LOGITS
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    ¡
    1.30
    ²
    1.29
    ij
    1.28
    ½
    1.27
    Activations Density 0.013%

    No Known Activations