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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. 4-RES-JB
    11. 24555
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    Explanations

    mentions of specific city names

    oai_token-act-pair · gpt-3.5-turbo

    geographical locations and city names

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

    No Comments

    Negative Logits
    henko
    -0.68
    rious
    -0.67
    Mach
    -0.65
     Boko
    -0.60
    milo
    -0.60
    åŃ
    -0.60
     Canaver
    -0.59
    seller
    -0.59
     sacrifices
    -0.59
     CET
    -0.58
    POSITIVE LOGITS
     County
    1.07
     City
    1.05
     Harbor
    1.04
     Township
    1.03
    burgh
    0.96
     metro
    0.95
     Downtown
    0.94
     Municip
    0.93
     Heights
    0.92
     District
    0.92
    Activations Density 0.246%

    No Known Activations