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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
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    Explanations

    references to the city of St. Louis

    oai_token-act-pair · gpt-3.5-turbo

    references to St. Louis 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 @ 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
    VALUE
    -0.85
    udeb
    -0.75
    vana
    -0.73
    razil
    -0.72
    cffffcc
    -0.71
    irlf
    -0.68
    ãĥ¼ãĤ¯
    -0.68
    rahim
    -0.65
    nee
    -0.65
     Britann
    -0.64
    POSITIVE LOGITS
     Rams
    1.11
     Cardinals
    1.06
     County
    0.97
     Blues
    0.92
     Dispatch
    0.84
     Angeles
    0.83
     Browns
    0.82
    ouri
    0.82
     Slug
    0.80
     Rapids
    0.80
    Activations Density 0.024%

    No Known Activations