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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. 8-RES-JB
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    Explanations

    mentions of the location "Barcelona"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Barcelona and related references to Catalonia

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bilt
    -0.85
    lihood
    -0.80
    ulhu
    -0.74
    hower
    -0.73
    awk
    -0.73
    arlane
    -0.71
    inki
    -0.68
    orship
    -0.68
    mitted
    -0.66
    wives
    -0.65
    POSITIVE LOGITS
    celona
    0.87
    ois
    0.83
    anca
    0.72
     Haram
    0.70
     Catal
    0.70
     Messi
    0.70
    ohydrate
    0.68
     Neurolog
    0.66
    itatively
    0.66
    dylib
    0.66
    Activations Density 0.056%

    No Known Activations