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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. 7-RES-JB
    11. 19096
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    Explanations

    the word "necessarily"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that convey uncertainty or conditionality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    banks
    -0.82
    bern
    -0.77
    busters
    -0.77
     Feld
    -0.72
    bah
    -0.72
    iry
    -0.72
    nan
    -0.71
    fw
    -0.66
     Emin
    -0.65
    buster
    -0.65
    POSITIVE LOGITS
     necessarily
    0.83
     bothered
    0.75
     anymore
    0.75
     detract
    0.74
     guiActiveUn
    0.72
     underest
    0.71
    omsday
    0.70
     correlate
    0.70
     correlated
    0.69
     leap
    0.69
    Activations Density 0.028%

    No Known Activations