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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. 12050
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    Explanations

    proper nouns related to individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names related to individuals and brands

    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
    ĸļ
    -0.69
    ¥µ
    -0.62
     Explicit
    -0.62
     Gamergate
    -0.62
     Hath
    -0.62
     Religious
    -0.61
     disag
    -0.59
    ologies
    -0.58
    ether
    -0.57
    meal
    -0.56
    POSITIVE LOGITS
    affer
    1.16
    inav
    1.02
    ieri
    0.98
    rier
    0.98
    iating
    0.96
    loo
    0.92
    ience
    0.86
    ornia
    0.85
    iac
    0.84
    iated
    0.84
    Activations Density 0.006%

    No Known Activations