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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. 2-RES-JB
    11. 6035
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    Explanations

    the word "digest" or variants of it

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of digesting information or food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quartered
    -0.73
    senal
    -0.72
     charism
    -0.66
    mberg
    -0.63
     whistleblowers
    -0.61
    paralle
    -0.61
    printed
    -0.60
    proclaimed
    -0.60
     promise
    -0.59
     Investigator
    -0.59
    POSITIVE LOGITS
     digest
    1.28
    ible
    1.05
    ibles
    1.05
    ibility
    1.05
    rition
    1.00
    ãĥ¼ãĥĨãĤ£
    0.95
     Digest
    0.90
    rients
    0.86
    ãĥ¼ãĤ¯
    0.86
    ãĥ³ãĤ¸
    0.85
    Activations Density 0.008%

    No Known Activations