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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. 3-RES-JB
    11. 16987
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    Explanations

    mentions of a specific geographical location, specifically "Chhattisgarh."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and events associated with 'hatt' and 'Nottingham'

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ULT
    -0.76
    ITAL
    -0.74
    acies
    -0.70
    DEM
    -0.69
    CE
    -0.68
    USD
    -0.66
    acy
    -0.65
    innacle
    -0.65
    ITY
    -0.64
    OPLE
    -0.64
    POSITIVE LOGITS
    uyomi
    0.82
    eer
    0.80
    edly
    0.79
    enburg
    0.77
    arre
    0.76
    romeda
    0.76
    icator
    0.76
    ezvous
    0.76
    edy
    0.76
     Parables
    0.75
    Activations Density 0.021%

    No Known Activations