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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    references to government cabinets

    oai_token-act-pair · gpt-3.5-turbo

    references to government cabinets and their officials

    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
    owicz
    -0.75
    thia
    -0.72
    iably
    -0.70
     Analog
    -0.69
    ibaba
    -0.69
    icago
    -0.68
    Ïģ
    -0.66
     Nation
    -0.65
     Fro
    -0.63
     GOODMAN
    -0.63
    POSITIVE LOGITS
     secretaries
    1.23
     ministers
    1.09
     appointments
    1.05
     shuffle
    0.96
     nominees
    0.93
     Ministers
    0.90
     secretary
    0.88
     resh
    0.86
    member
    0.86
     nominations
    0.86
    Activations Density 0.023%

    No Known Activations