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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. 4-RES-JB
    11. 2471
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    Explanations

    locations, specifically cities

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of specific geographical locations and names

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

    No Comments

    Negative Logits
    uders
    -0.70
    utable
    -0.68
    xon
    -0.67
     ÏĦ
    -0.65
    ocaust
    -0.63
    plate
    -0.63
    terday
    -0.62
    igrant
    -0.61
    ory
    -0.61
    aria
    -0.60
    POSITIVE LOGITS
    lake
    0.86
    olicy
    0.79
    ness
    0.75
     Institution
    0.72
    lio
    0.72
    aldi
    0.71
    TAIN
    0.70
    ullivan
    0.69
    poon
    0.68
    ãĤĮ
    0.68
    Activations Density 0.021%

    No Known Activations