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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. 11-RES-JB
    11. 13317
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    Explanations

    phrases related to considering various factors or viewpoints

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to taking various factors into account during decision-making

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Constructed
    -0.70
     Mole
    -0.66
    info
    -0.66
    nect
    -0.64
    quer
    -0.63
    mouth
    -0.62
     ensu
    -0.61
    chu
    -0.61
    itte
    -0.61
    letters
    -0.60
    POSITIVE LOGITS
     when
    1.17
     whenever
    0.86
    when
    0.84
    minist
    0.81
     while
    0.79
     WHEN
    0.79
     during
    0.78
     before
    0.78
     regarding
    0.75
     considerations
    0.72
    Activations Density 0.083%

    No Known Activations