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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. 16847
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    Explanations

    phrases that suggest preparation or planning in advance

    oai_token-act-pair · gpt-3.5-turbo

    references to planning or preparation ahead of time

    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
    BuyableInstoreAndOnline
    -0.79
    DCS
    -0.73
     Klux
    -0.71
     Flavoring
    -0.70
    adra
    -0.70
    ById
    -0.68
    ĪĴ
    -0.67
    tons
    -0.66
    sey
    -0.66
    agra
    -0.64
    POSITIVE LOGITS
     screenings
    0.92
     screening
    0.86
     planning
    0.81
    noon
    0.79
     beforehand
    0.73
     scheduling
    0.73
     thereof
    0.71
     staging
    0.71
     warning
    0.71
     informing
    0.71
    Activations Density 0.025%

    No Known Activations