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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. 14667
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    Explanations

    words related to technology or brand names, possibly related to futuristic or advanced concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to specific cultural and technological terms, particularly involving the word "Neo."

    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
    loo
    -1.00
    tons
    -0.84
     Dull
    -0.76
    staking
    -0.74
    rip
    -0.72
    ãĤ¼ãĤ¦ãĤ¹
    -0.72
    taining
    -0.71
    rooms
    -0.71
    ÑĮ
    -0.70
    tin
    -0.70
    POSITIVE LOGITS
     Geo
    0.91
     Neo
    0.84
     NEO
    0.78
    arthed
    0.72
     Lumpur
    0.71
    pheus
    0.69
    flex
    0.68
     Neph
    0.68
     Enterprises
    0.66
     Zero
    0.66
    Activations Density 0.013%

    No Known Activations