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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. 4-RES-JB
    11. 8524
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    Explanations

    references to specific names or terms, particularly "Vishal" and "Jehovah."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities associated with religion, particularly focusing on names and medical-related terms

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

    No Comments

    Negative Logits
    aign
    -0.71
    agna
    -0.71
    oons
    -0.70
    ukong
    -0.70
    iard
    -0.69
     Hurricanes
    -0.69
     Fields
    -0.68
    elli
    -0.67
    ifications
    -0.67
     Rover
    -0.67
    POSITIVE LOGITS
    ãĤ¶
    0.80
    ×IJ
    0.71
     tract
    0.70
    conservancy
    0.70
    ¡
    0.68
     pse
    0.68
    ocese
    0.68
    chron
    0.67
    respect
    0.66
    WARN
    0.66
    Activations Density 0.036%

    No Known Activations