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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. 11146
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    Explanations

    words related to technological advancements and progress

    oai_token-act-pair · gpt-3.5-turbo

    references to innovation

    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
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    Negative Logits
    nee
    -0.78
    than
    -0.63
    vet
    -0.63
    oros
    -0.62
    avering
    -0.61
    ahan
    -0.61
    ramid
    -0.61
    esthetic
    -0.61
    arers
    -0.60
    ×ŀ
    -0.60
    POSITIVE LOGITS
     innovation
    1.01
     innov
    0.94
     proble
    0.86
    ulence
    0.85
     portfolios
    0.79
    ulkan
    0.78
    iveness
    0.76
     innovate
    0.75
     innovations
    0.74
     mindset
    0.72
    Activations Density 0.017%

    No Known Activations