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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. 1-RES-JB
    11. 22023
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    Explanations

    the word "Si" followed by a specific digit, predominantly 6, 8, or 9

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Si" and references to specific individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨ
    -1.02
    lain
    -0.90
    eers
    -0.81
    ãĥĥãĥĪ
    -0.80
    eer
    -0.78
    ãĥĦ
    -0.77
    ãĥĩãĤ£
    -0.75
    eals
    -0.72
    tainment
    -0.70
    ãĥ£
    -0.70
    POSITIVE LOGITS
     Si
    1.17
    Si
    1.00
     si
    0.97
    enna
    0.88
    abling
    0.87
    pling
    0.84
    ada
    0.82
    otin
    0.81
    zech
    0.81
    plin
    0.80
    Activations Density 0.010%

    No Known Activations