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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. 7-RES-JB
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    Explanations

    locations, particularly focusing on Shanghai

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographical locations, particularly cities, with a strong focus on Shanghai

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    lete
    -0.87
    sonian
    -0.85
    vich
    -0.77
    dit
    -0.76
    rocal
    -0.76
    minist
    -0.75
    yright
    -0.75
    scrib
    -0.75
    rights
    -0.74
    lev
    -0.74
    POSITIVE LOGITS
     Disneyland
    0.96
     Cooperation
    0.94
     Lumpur
    0.88
     Express
    0.83
    igans
    0.80
     Opera
    0.79
     guiActiveUnfocused
    0.74
     Composite
    0.74
     Hotel
    0.71
     skyline
    0.71
    Activations Density 0.034%

    No Known Activations