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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. 1-RES-JB
    11. 13864
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    Explanations

    numbers or references to numbered items

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "numbered" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ̶
    -0.77
    oli
    -0.73
    Streamer
    -0.71
    lez
    -0.70
    zh
    -0.69
    Thumbnail
    -0.66
    á
    -0.65
    oba
    -0.65
    Britain
    -0.65
    owered
    -0.65
    POSITIVE LOGITS
     numbered
    1.30
    numbered
    1.23
     numbering
    0.98
     numbers
    0.86
     Numbers
    0.83
     consecut
    0.82
     redes
    0.73
     booths
    0.72
    umbers
    0.72
     desper
    0.72
    Activations Density 0.010%

    No Known Activations