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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. 23907
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    Explanations

    named locations, specifically "Georgetown" and "Kingston"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific locations or institutions

    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
    acca
    -0.68
    ============
    -0.63
    rg
    -0.63
    userc
    -0.62
    emic
    -0.62
     costly
    -0.62
    Else
    -0.61
    andro
    -0.61
    lyak
    -0.60
    igree
    -0.60
    POSITIVE LOGITS
    orgetown
    1.07
     Hoy
    0.92
     Georgetown
    0.88
     Tennis
    0.79
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.79
    icago
    0.78
     University
    0.78
     Marriott
    0.76
    sylvania
    0.75
    heit
    0.74
    Activations Density 0.004%

    No Known Activations