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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. 3-RES-JB
    11. 18502
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    Explanations

    locations or addresses

    oai_token-act-pair · gpt-3.5-turbo

    locations, particularly names of inns, hotels, and other places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -0.80
    =-=-=-=-=-=-=-=-
    -0.75
     breath
    -0.74
     repeated
    -0.71
     scientifically
    -0.71
    ãģį
    -0.70
     ourselves
    -0.69
     breeds
    -0.68
     lyr
    -0.68
    ãģĦ
    -0.68
    POSITIVE LOGITS
     Plaza
    1.06
     Blvd
    1.05
     District
    1.03
     Hotel
    1.03
     Gardens
    1.01
     Parkway
    0.99
     Avenue
    0.95
     Rd
    0.94
     Mall
    0.93
     Station
    0.92
    Activations Density 0.326%

    No Known Activations