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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. 0-RES-JB
    11. 16832
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    Explanations

    locations and places

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the country Nepal and associated names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Johnson
    -0.85
    Johnson
    -0.84
    Rog
    -0.82
     Wallace
    -0.80
     Howard
    -0.76
     Roberts
    -0.75
     Rogers
    -0.75
    ischer
    -0.74
    Howard
    -0.73
     Scott
    -0.72
    POSITIVE LOGITS
     Nepal
    3.74
     Nep
    3.03
     Kath
    2.03
     Himal
    2.03
     Everest
    2.01
     Tibet
    1.70
     Tibetan
    1.66
     Utt
    1.47
     Mao
    1.39
     Myanmar
    1.36
    Activations Density 0.033%

    No Known Activations