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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. 7-RES-JB
    11. 7799
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    Explanations

    references to specific political entities or positions, particularly those related to government cabinets

    oai_token-act-pair · gpt-3.5-turbo

    references to government cabinet meetings and officials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owicz
    -0.73
     Gim
    -0.71
    ibaba
    -0.70
    thia
    -0.70
    ansom
    -0.68
    iform
    -0.67
    icago
    -0.66
    Ïģ
    -0.65
    iesta
    -0.65
     Wear
    -0.64
    POSITIVE LOGITS
     secretaries
    1.27
     ministers
    1.16
     appointments
    1.05
     Ministers
    0.99
     minister
    0.95
     secretary
    0.94
     nominees
    0.93
     shuffle
    0.91
     appoint
    0.90
     chairs
    0.89
    Activations Density 0.024%

    No Known Activations