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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
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    Explanations

    mentions of a specific location (Dublin 9) within various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Dublin

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    utations
    -0.79
    acca
    -0.78
    ocrat
    -0.76
    uyomi
    -0.76
    ainted
    -0.75
     Mehran
    -0.73
    ogun
    -0.71
    DonaldTrump
    -0.71
    acements
    -0.70
    PsyNetMessage
    -0.70
    POSITIVE LOGITS
     Dublin
    0.90
     Cork
    0.84
    forth
    0.83
    town
    0.78
    mouth
    0.76
     Examiner
    0.73
     Wick
    0.70
     Harbour
    0.67
     Castle
    0.67
     Ireland
    0.66
    Activations Density 0.006%

    No Known Activations