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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. 23187
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    INDEX
    Explanations

    geographical locations and industries

    oai_token-act-pair · gpt-3.5-turbo

    references to social issues and geographical contexts

    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
    aughs
    -0.66
    DOS
    -0.62
    ilogy
    -0.61
    sson
    -0.60
     Bulldogs
    -0.60
    oux
    -0.59
    oulos
    -0.59
     Pirates
    -0.58
    nings
    -0.58
    atari
    -0.57
    POSITIVE LOGITS
     ranging
    1.22
     like
    1.00
    afety
    0.88
     LIKE
    0.88
     such
    0.86
     resembling
    0.85
     deemed
    0.83
     beyond
    0.83
     unrelated
    0.81
    rir
    0.77
    Activations Density 0.406%

    No Known Activations