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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. 9-RES-JB
    11. 5022
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    INDEX
    Explanations

    references to authority figures or institutions

    oai_token-act-pair · gpt-3.5-turbo

    repeated usage of the word "the" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Alert
    -0.86
    ESPN
    -0.85
    ibaba
    -0.82
    ftime
    -0.81
    ãĤ´ãĥ³
    -0.79
    mares
    -0.78
    abel
    -0.77
    NB
    -0.75
    bg
    -0.75
    restling
    -0.74
    POSITIVE LOGITS
     slightest
    1.21
     majority
    1.17
     entire
    1.08
     vast
    1.03
     greatest
    0.99
     whole
    0.94
     Russians
    0.92
     absence
    0.91
     mere
    0.90
     feds
    0.90
    Activations Density 0.291%

    No Known Activations