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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. 4-RES-JB
    11. 4053
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    Explanations

    words related to information processing or digestion

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to digestion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    senal
    -0.72
     Investigator
    -0.68
     comr
    -0.62
    gpu
    -0.62
     manned
    -0.61
    boat
    -0.61
     Archangel
    -0.59
    cius
    -0.58
    quartered
    -0.57
    alien
    -0.57
    POSITIVE LOGITS
    ible
    1.23
    ibility
    1.22
    ibles
    1.16
     digest
    1.13
    rition
    1.04
    ibly
    0.95
    rients
    0.94
    ãĥ¼ãĥĨãĤ£
    0.92
    ãĥ³ãĤ¸
    0.91
    tion
    0.88
    Activations Density 0.008%

    No Known Activations