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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. 11-RES-JB
    11. 14756
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    Explanations

    people's last names with a strong emphasis on the letters 'es'

    oai_token-act-pair · gpt-3.5-turbo

    plural nouns and noun endings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dealing
    -0.66
     Reconstruction
    -0.64
    âĶĢâĶĢ
    -0.63
     Volks
    -0.63
     sunshine
    -0.61
     gearing
    -0.61
    ··
    -0.60
     exception
    -0.58
     minors
    -0.57
     REG
    -0.57
    POSITIVE LOGITS
    chwitz
    1.37
    inger
    1.22
    chel
    1.20
    nyder
    1.20
    henko
    1.17
    chuk
    1.17
    ullivan
    1.16
    enthal
    1.14
    mith
    1.13
    iak
    1.13
    Activations Density 0.090%

    No Known Activations