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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. 9-RES-JB
    11. 16418
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    Explanations

    locations inside buildings

    oai_token-act-pair · gpt-3.5-turbo

    references to locations within buildings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bows
    -0.82
    yout
    -0.74
    aceous
    -0.74
     straps
    -0.73
     routes
    -0.72
    ãĥīãĥ©
    -0.71
    ibia
    -0.71
     stunts
    -0.71
    beans
    -0.71
    bow
    -0.70
    POSITIVE LOGITS
     courthouse
    1.24
     Marriott
    1.09
     apartment
    1.06
     synagogue
    1.01
     Hotel
    1.00
     Capitol
    1.00
     hotel
    0.97
     Café
    0.97
     offices
    0.96
     downtown
    0.95
    Activations Density 0.360%

    No Known Activations