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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. 2-RES-JB
    11. 18970
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    Explanations

    references to specific geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the cities Geneva and The Hague

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alach
    -0.86
    ramid
    -0.85
    etitive
    -0.75
    reci
    -0.71
    transform
    -0.70
    secut
    -0.68
    vich
    -0.68
    thora
    -0.68
    adding
    -0.68
    oÄŁ
    -0.67
    POSITIVE LOGITS
     Geneva
    0.96
     Hague
    0.84
     seiz
    0.81
    ascus
    0.74
     franc
    0.73
     Rouge
    0.73
    ienne
    0.71
     countryside
    0.71
    hammer
    0.71
     Lumpur
    0.71
    Activations Density 0.009%

    No Known Activations