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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. 4750
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    Explanations

    Proper names and locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people

    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
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    Negative Logits
     Dying
    -0.75
    é¾įå
    -0.70
    ACA
    -0.69
    è¦ļéĨĴ
    -0.67
     Kinnikuman
    -0.67
    catentry
    -0.64
    GGGGGGGG
    -0.63
     sugg
    -0.63
     pyramid
    -0.61
    querque
    -0.61
    POSITIVE LOGITS
    inki
    0.95
    ibaba
    0.86
    schild
    0.83
    idan
    0.78
    oyal
    0.75
    aii
    0.75
    uku
    0.75
    tty
    0.75
    ulu
    0.73
    eki
    0.72
    Activations Density 0.170%

    No Known Activations