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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. 5549
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    INDEX
    Explanations

    phrases mentioning or directed towards readers

    oai_token-act-pair · gpt-3.5-turbo

    references to the audience or readers in texts

    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
    asia
    -0.70
     Guan
    -0.67
     WCS
    -0.66
    apes
    -0.65
     Spa
    -0.63
     Parenthood
    -0.63
     Pharma
    -0.60
     Malays
    -0.60
     Gund
    -0.60
     Kore
    -0.60
    POSITIVE LOGITS
    hip
    1.34
     readers
    1.06
     reader
    1.05
     Readers
    0.92
    DragonMagazine
    0.90
    reader
    0.89
     Reader
    0.84
    uggest
    0.81
    lisher
    0.78
    20439
    0.77
    Activations Density 0.021%

    No Known Activations