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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. 3-RES-JB
    11. 23857
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    Explanations

    financial and ownership-related terms, particularly focusing on the concept of holding something

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or entities in possession of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.73
     Butt
    -0.68
     Reaper
    -0.66
     Giuliani
    -0.66
    romy
    -0.64
    eele
    -0.64
     Blow
    -0.63
    edo
    -0.61
    roman
    -0.59
    impro
    -0.59
    POSITIVE LOGITS
    holders
    1.29
    holder
    1.06
     holders
    1.06
     holder
    0.87
    terness
    0.74
    owners
    0.73
    hip
    0.72
    cies
    0.72
    license
    0.72
    holding
    0.71
    Activations Density 0.015%

    No Known Activations