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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. 9793
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    Explanations

    the word "say" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal opinions or statements

    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
    xtap
    -0.83
    ¥ŀ
    -0.82
     conflic
    -0.77
    ntil
    -0.76
    tele
    -0.76
     cumbers
    -0.71
     earthqu
    -0.70
    phrine
    -0.69
    pleting
    -0.69
    ĸļ士
    -0.68
    POSITIVE LOGITS
     goodbye
    1.27
     hello
    0.92
     Goodbye
    0.82
    ings
    0.81
    INGS
    0.71
     aloud
    0.70
     hi
    0.67
    ysis
    0.67
     farewell
    0.67
    upon
    0.66
    Activations Density 0.108%

    No Known Activations