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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. 23351
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    Explanations

    mentions of the word "Gran" or "granulated."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Gran" or related variations, indicating a focus on entities or concepts associated with "Gran."

    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
     Laugh
    -0.69
     Lovecraft
    -0.66
     cele
    -0.65
     Gutenberg
    -0.62
    {"
    -0.61
    suit
    -0.60
    EEP
    -0.60
    hered
    -0.60
     favorable
    -0.59
     gaping
    -0.59
    POSITIVE LOGITS
    ularity
    1.32
    ular
    1.25
    ules
    1.03
    itic
    0.96
    aries
    0.94
    vier
    0.93
    itary
    0.92
    izont
    0.90
    itas
    0.87
    ulates
    0.86
    Activations Density 0.051%

    No Known Activations