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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. 0-RES-JB
    11. 19022
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    Explanations

    words related to prioritization and emphasis

    oai_token-act-pair · gpt-3.5-turbo

    terms related to prioritization and emphasis on specific issues or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gh
    -0.74
    ells
    -0.65
    pring
    -0.64
    ci
    -0.64
     Appears
    -0.62
    abilia
    -0.62
    hell
    -0.61
    aic
    -0.61
     marvelous
    -0.61
    atures
    -0.60
    POSITIVE LOGITS
     priorit
    3.81
     prioritize
    2.60
     priority
    1.46
     priorities
    1.42
     privile
    1.37
    priority
    1.29
     maxim
    1.28
     incentiv
    1.24
     Priority
    1.24
     summar
    1.22
    Activations Density 0.021%

    No Known Activations