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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. 2963
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    Explanations

    dates and numerical values

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases and comparisons involving time and quantity

    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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    Negative Logits
     Xer
    -0.56
     Chau
    -0.55
     Americans
    -0.55
     Galile
    -0.54
     Southwest
    -0.54
     Greenberg
    -0.53
     mainland
    -0.53
     Wasserman
    -0.52
     Congressional
    -0.51
     Slate
    -0.51
    POSITIVE LOGITS
    SPONSORED
    0.63
    ozy
    0.59
    edi
    0.59
    abby
    0.59
    tsy
    0.58
    cember
    0.58
    shown
    0.57
    escription
    0.57
    %"
    0.57
    mble
    0.57
    Activations Density 1.475%

    No Known Activations