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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. 23685
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    Explanations

    years and quantities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate approximate quantities or timeframes

    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
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    No Comments

    Negative Logits
    agate
    -0.72
    enment
    -0.69
    Activity
    -0.64
    Journal
    -0.64
     Dynamics
    -0.62
    ococ
    -0.61
    اÙĦ
    -0.59
    ":[
    -0.59
     Provision
    -0.59
    Republic
    -0.57
    POSITIVE LOGITS
     identical
    0.83
     tripled
    0.83
     unanimous
    0.83
     bankrupt
    0.79
     drowned
    0.79
     impossible
    0.74
     doubled
    0.73
     extinct
    0.72
     limitless
    0.70
     derailed
    0.68
    Activations Density 0.040%

    No Known Activations