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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. 11-RES-JB
    6. 4391
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    Explanations

    specialized terminology or jargon related to technology and media

    oai_token-act-pair · gpt-3.5-turbo

    references to potential threats and complex situations

    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
    âĢ
    -0.95
    à¨
    -0.94
    âĸij
    -0.81
    ¯¯
    -0.81
    à©
    -0.78
    ntil
    -0.77
    few
    -0.75
     à¨
    -0.75
    âĹ
    -0.75
    ãĥĥãĥī
    -0.75
    POSITIVE LOGITS
    !:
    0.72
    !
    0.68
    !".
    0.64
     to
    0.64
    !'
    0.62
     TO
    0.62
     To
    0.61
    !'"
    0.60
    !]
    0.59
     Spectre
    0.59
    Activations Density 1.124%

    No Known Activations