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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. 1874
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    Explanations

    words related to expectations or anticipations being met or not

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to expectations and forecasts

    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
    guyen
    -0.75
    chu
    -0.72
    ophon
    -0.70
    terness
    -0.69
    bern
    -0.68
     Nug
    -0.66
    minist
    -0.65
    stan
    -0.65
    arag
    -0.62
     Yao
    -0.62
    POSITIVE LOGITS
    aneously
    0.86
     thanks
    0.82
     due
    0.74
     owing
    0.70
    .","
    0.67
    .
    0.65
    ADE
    0.64
    Downloadha
    0.64
    terday
    0.63
    .?
    0.62
    Activations Density 0.097%

    No Known Activations