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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. 3-RES-JB
    11. 13357
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    Explanations

    unexpected situations or elements in a given context

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "unexpected."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nan
    -0.92
    claimer
    -0.87
    tein
    -0.85
    ogun
    -0.82
    rio
    -0.82
    burgh
    -0.82
    xia
    -0.79
    bourg
    -0.79
    haps
    -0.77
    info
    -0.76
    POSITIVE LOGITS
     unexpected
    1.07
    cffffcc
    0.97
    aneously
    0.91
     surprises
    0.88
    LY
    0.85
     occurrences
    0.76
     pregnancies
    0.75
     twists
    0.74
     revelations
    0.74
     circumstances
    0.73
    Activations Density 0.016%

    No Known Activations