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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. 12-RES-JB
    11. 4538
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    Explanations

    information related to transportation services and events in the city of Toronto

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    topics related to public transportation issues and policies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nevada
    -1.05
     Liberia
    -0.93
    Reviewer
    -0.92
     Bundy
    -0.91
    Oregon
    -0.89
     Petersen
    -0.88
     DOD
    -0.84
    Ãĥ
    -0.83
    SPONSORED
    -0.82
     Huckabee
    -0.82
    POSITIVE LOGITS
    Toronto
    2.36
     Toronto
    2.27
     TTC
    2.15
     Ontario
    1.76
     Mississ
    1.72
    Ont
    1.66
     Scarborough
    1.64
     Ont
    1.56
     Raptors
    1.56
     Leafs
    1.55
    Activations Density 0.628%

    No Known Activations