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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. 20041
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    Explanations

    specific mentions of office locations

    oai_token-act-pair · gpt-3.5-turbo

    references to administrative offices and their locations

    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
    nia
    -0.71
    rous
    -0.71
    ebook
    -0.70
    Doctors
    -0.67
    COMPLE
    -0.66
    Enough
    -0.66
    Pause
    -0.65
    thia
    -0.65
    ANC
    -0.65
    Beg
    -0.65
    POSITIVE LOGITS
     offices
    1.06
    holders
    0.90
    office
    0.90
    holder
    0.86
     desks
    0.86
     glim
    0.81
    tops
    0.79
     office
    0.78
     drawer
    0.77
    matically
    0.77
    Activations Density 0.012%

    No Known Activations