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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. 6-RES-JB
    11. 4361
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    Explanations

    phrases related to technological advancements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to progress and development in various fields, particularly technology and science

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \\\\\\\\
    -0.80
    NAS
    -0.79
    NESS
    -0.77
    ãĤ¼ãĤ¦ãĤ¹
    -0.75
    ES
    -0.74
    NES
    -0.73
    ETF
    -0.72
     istg
    -0.72
    LCS
    -0.71
    Reviewed
    -0.71
    POSITIVE LOGITS
     stray
    0.76
     various
    0.76
     legisl
    0.69
     wildlife
    0.68
     exacerbate
    0.65
     both
    0.65
     conserve
    0.64
     prolifer
    0.62
     progress
    0.62
    seek
    0.62
    Activations Density 0.515%

    No Known Activations