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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 13339
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    inquiries and questions about knowledge or information

    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
    ©¶æ¥µ
    -0.69
    Introduced
    -0.66
    twitch
    -0.62
    edition
    -0.61
    ufact
    -0.60
    absor
    -0.60
    jam
    -0.60
     oun
    -0.58
    Pear
    -0.58
     understatement
    -0.57
    POSITIVE LOGITS
     whether
    1.32
     why
    1.27
     how
    1.25
     WHY
    1.23
    whether
    1.06
     specifics
    1.05
     answers
    1.01
    why
    1.00
     what
    1.00
     HOW
    0.98
    Activations Density 0.123%

    No Known Activations