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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. 0-RES-JB
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    Explanations

    names of locations or entities, particularly the city of Cincinnati

    oai_token-act-pair · gpt-3.5-turbo

    references to Cincinnati and its associated entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ë
    -0.85
    mund
    -0.77
     Maw
    -0.74
     sorcery
    -0.73
     mund
    -0.73
     Sands
    -0.72
     mage
    -0.71
    Snow
    -0.70
     Tes
    -0.68
     armour
    -0.68
    POSITIVE LOGITS
     Cincinnati
    3.60
     Bengals
    2.32
    incinnati
    2.21
     Chattanooga
    1.92
     Akron
    1.83
     Louisville
    1.83
     Cleveland
    1.68
     Pittsburgh
    1.61
    incinn
    1.59
     Ohio
    1.52
    Activations Density 0.012%

    No Known Activations