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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. 0-RES-JB
    11. 9602
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    Explanations

    proper nouns that include the sequence "iao", especially Chinese names such as "Zhang Miao" and "Qiao Mu"

    oai_token-act-pair · gpt-3.5-turbo

    proper names and specific identifiers in the text

    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
    rail
    -0.70
     Camden
    -0.70
     Salem
    -0.70
     mete
    -0.69
    console
    -0.66
     Riy
    -0.66
     logger
    -0.65
    FTWARE
    -0.65
     Trent
    -0.65
     Scotia
    -0.64
    POSITIVE LOGITS
    iao
    3.50
     tang
    1.16
     Xiao
    1.12
     Kur
    1.06
     au
    0.99
     Burk
    0.94
     Qiao
    0.92
    rosso
    0.90
    tu
    0.88
    LU
    0.87
    Activations Density 0.038%

    No Known Activations