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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. 14004
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    Explanations

    time durations expressed in numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to time durations

    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
     pse
    -0.69
     Caption
    -0.57
    amaru
    -0.57
    rin
    -0.57
    hao
    -0.57
    ishop
    -0.57
    rike
    -0.57
    grass
    -0.55
    ned
    -0.54
    liest
    -0.54
    POSITIVE LOGITS
     reasons
    1.31
     consecutive
    1.21
     years
    1.13
     hours
    1.13
     months
    1.10
     weeks
    1.09
     purposes
    1.04
    months
    1.03
     minutes
    1.00
     cents
    1.00
    Activations Density 0.099%

    No Known Activations