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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. 1-RES-JB
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    Explanations

    references to the city of San Diego

    oai_token-act-pair · gpt-3.5-turbo

    references to San Diego

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pir
    -0.81
    eworld
    -0.80
    âķIJâķIJ
    -0.76
    essage
    -0.74
    soDeliveryDate
    -0.72
    ICS
    -0.72
    ported
    -0.70
    ãĥ¤
    -0.70
    piracy
    -0.69
    ayers
    -0.68
    POSITIVE LOGITS
     Diego
    1.25
     Padres
    1.22
     Chargers
    1.03
     Comic
    0.95
     Garcia
    0.94
     Francisco
    0.92
     Rica
    0.91
     County
    0.90
     Angeles
    0.86
     Marcos
    0.84
    Activations Density 0.004%

    No Known Activations