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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. 9-RES-JB
    6. 20268
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    Explanations

    phrases related to legal or official documents and processes

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and sentence endings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aciously
    -0.66
    llular
    -0.65
    rolled
    -0.62
    medi
    -0.61
    rid
    -0.61
    backed
    -0.60
    ï¸
    -0.59
    aimon
    -0.58
    laden
    -0.58
    utan
    -0.58
    POSITIVE LOGITS
     UNCLASSIFIED
    1.37
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    1.29
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    1.21
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    1.20
     Âł Âł
    1.17
     ********************************
    1.15
     ------
    1.13
     --------------------
    1.12
     âĹı
    1.11
     --------
    1.10
    Activations Density 0.798%

    No Known Activations