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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. 16875
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    Explanations

    mentions of specific individuals or groups of people

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups commonly referred to as "persons."

    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
    enthal
    -0.72
    ļéĨĴ
    -0.71
    Phill
    -0.71
    Oracle
    -0.69
    Kids
    -0.69
    Accessory
    -0.69
    âĺħâĺħ
    -0.68
    Mic
    -0.67
    asio
    -0.66
    NES
    -0.65
    POSITIVE LOGITS
    hood
    0.96
     who
    0.83
    folk
    0.80
    lihood
    0.78
     acquainted
    0.77
     persons
    0.76
    ority
    0.75
     residing
    0.75
     whom
    0.75
     istg
    0.75
    Activations Density 0.023%

    No Known Activations