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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. 13371
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    Explanations

    locations within cities or towns

    oai_token-act-pair · gpt-3.5-turbo

    locations and their associations within a context

    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
    merga
    -0.93
    obyl
    -0.76
     sails
    -0.74
     worms
    -0.74
    Ïĥ
    -0.72
     exported
    -0.72
     repatri
    -0.71
     submarines
    -0.71
     abroad
    -0.71
    Ü
    -0.70
    POSITIVE LOGITS
     downtown
    1.29
     Downtown
    1.20
     Manhattan
    1.15
     Oakland
    1.04
     Brooklyn
    1.04
     Arlington
    1.03
     Chinatown
    0.99
     Minneapolis
    0.98
     Lexington
    0.96
     Philadelphia
    0.96
    Activations Density 0.188%

    No Known Activations