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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. 11-RES-JB
    11. 9277
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    Explanations

    words related to the city of Toronto

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Toronto and its sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     disse
    -0.72
    hardt
    -0.70
    icio
    -0.67
     Verb
    -0.67
    ulative
    -0.67
    vier
    -0.66
     Lieberman
    -0.66
    omez
    -0.65
    ãĥ¼ãĥĨ
    -0.65
    erate
    -0.64
    POSITIVE LOGITS
     Maple
    1.25
     Raptors
    1.24
     Argon
    1.22
     FC
    0.99
     Harbour
    0.98
    Toronto
    0.96
     Mississ
    0.94
     Hydro
    0.92
     Toronto
    0.89
     Centre
    0.87
    Activations Density 0.039%

    No Known Activations