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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. 9-RES-JB
    11. 4973
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    Explanations

    time durations expressed in words

    oai_token-act-pair · gpt-3.5-turbo

    phrases that quantify time durations or emphasize length of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Express
    -0.65
    arest
    -0.62
    nces
    -0.60
    ned
    -0.57
    omas
    -0.57
    =-=-=-=-=-=-=-=-
    -0.56
    âĨij
    -0.56
    Introduced
    -0.56
    Memory
    -0.56
     accum
    -0.55
    POSITIVE LOGITS
     decades
    0.89
     millennium
    0.87
     YEAR
    0.87
     millennia
    0.86
     decade
    0.85
     thirty
    0.83
     awhile
    0.83
    months
    0.82
     centuries
    0.80
     months
    0.79
    Activations Density 0.079%

    No Known Activations