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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. 10-RES-JB
    11. 5813
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    Explanations

    words related to health and well-being, especially focusing on phrases indicating concern or the state of well-being

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health and well-being

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Crom
    -0.65
     ILCS
    -0.61
    essee
    -0.59
    Ô
    -0.57
    inguishable
    -0.53
    igham
    -0.53
     Paran
    -0.53
    pora
    -0.53
     [+
    -0.52
    ilyn
    -0.52
    POSITIVE LOGITS
    being
    0.75
    Į
    0.66
    Being
    0.61
    needs
    0.61
    adies
    0.60
    Ħ
    0.57
    Life
    0.57
    oes
    0.56
    ombo
    0.54
    effects
    0.54
    Activations Density 0.221%

    No Known Activations