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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. 16070
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    Explanations

    proper nouns related to people or places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names associated with specific individuals or locations

    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
    orate
    -0.76
    uracy
    -0.73
    omsday
    -0.71
     deaf
    -0.69
    haar
    -0.68
     Uz
    -0.68
    ombie
    -0.62
     flashlight
    -0.62
    onial
    -0.62
    ASED
    -0.61
    POSITIVE LOGITS
     Swan
    1.09
    igan
    0.92
    wick
    0.86
    daq
    0.85
    aby
    0.83
    lund
    0.82
    strom
    0.81
    lings
    0.78
    wind
    0.76
    dale
    0.76
    Activations Density 0.006%

    No Known Activations