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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. 13041
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    Explanations

    common words related to ownership and possession, specifically terms like "holder" and "holders."

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of stakeholders in a corporate or financial context

    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
    OLOGY
    -0.69
     Beautiful
    -0.67
    otrop
    -0.64
     Detect
    -0.63
     Bus
    -0.63
     Boll
    -0.62
    uras
    -0.61
     Cortex
    -0.60
     Rabbit
    -0.60
     Rab
    -0.60
    POSITIVE LOGITS
    holder
    1.45
    holders
    1.45
    terness
    1.09
    rats
    1.02
    hips
    0.93
    pring
    0.87
    ignty
    0.85
    rights
    0.83
    owners
    0.79
    tenance
    0.77
    Activations Density 0.003%

    No Known Activations