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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. 20922
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    Explanations

    mentions of the word "Guru" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific religious or spiritual leaders and figures

    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
    shows
    -0.64
     histories
    -0.63
     Agents
    -0.63
    sm
    -0.62
    turn
    -0.61
    ographs
    -0.60
    book
    -0.59
    sid
    -0.58
     graves
    -0.58
     Simpson
    -0.58
    POSITIVE LOGITS
    uru
    1.42
    hod
    0.94
    awei
    0.93
    umbai
    0.93
    isoft
    0.89
    aja
    0.86
    ashtra
    0.85
    isu
    0.83
    vana
    0.83
    ulously
    0.79
    Activations Density 0.017%

    No Known Activations