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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. 8-RES-JB
    11. 11972
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    Explanations

    medical terms or health-related information

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to personal vs. collective motivations and attitudes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .<
    -0.77
    ."[
    -0.76
    ".[
    -0.75
    !.
    -0.73
    .[
    -0.72
    .</
    -0.70
    !".
    -0.69
    .""
    -0.67
    .ãĢį
    -0.67
    ''.
    -0.66
    POSITIVE LOGITS
     disparate
    0.47
     bandwagon
    0.47
     )]
    0.45
    schild
    0.43
    doms
    0.43
    ommod
    0.43
    ils
    0.43
     pedest
    0.41
    ãĤ¼ãĤ¦ãĤ¹
    0.40
     harms
    0.40
    Activations Density 1.987%

    No Known Activations