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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. 16542
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    Explanations

    smiling-related expressions and sentiments

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to smiles

    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
    æ©Ł
    -0.81
     Administ
    -0.73
    FER
    -0.73
    aer
    -0.72
    ãĥ¯ãĥ³
    -0.70
    Ranked
    -0.70
    ferred
    -0.70
    unes
    -0.69
    ference
    -0.67
    inventoryQuantity
    -0.67
    POSITIVE LOGITS
     smile
    0.91
    heet
    0.84
    creen
    0.83
     hello
    0.82
     goodbye
    0.81
     smiles
    0.81
     grin
    0.79
     smiling
    0.78
     emot
    0.77
    bler
    0.73
    Activations Density 0.015%

    No Known Activations