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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. 22400
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    Explanations

    keywords related to travel, such as "travelers" and "traveller"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to travelers

    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
     Miliband
    -0.74
    ucc
    -0.72
     ASIC
    -0.70
     Barnett
    -0.68
    aration
    -0.65
     Archie
    -0.65
     Gou
    -0.64
     MAT
    -0.62
    âķIJ
    -0.62
    Assembly
    -0.62
    POSITIVE LOGITS
     travelers
    3.85
     travellers
    3.39
     traveler
    3.36
     traveller
    2.75
    travel
    2.31
     Travel
    2.09
    Travel
    2.01
     pilgrims
    1.88
     travel
    1.86
     tourists
    1.77
    Activations Density 0.019%

    No Known Activations