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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. 7-RES-JB
    11. 2077
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    Explanations

    phrases related to specific universities and individuals

    oai_token-act-pair · gpt-3.5-turbo

    words related to university names or higher education institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BILITIES
    -0.81
    ĻĤ
    -0.69
    ãĥĥãĥī
    -0.64
     Guatem
    -0.63
    furt
    -0.63
     sugg
    -0.62
    Mex
    -0.62
    BLIC
    -0.61
    THER
    -0.60
    ĨĴ
    -0.60
    POSITIVE LOGITS
    ahu
    0.77
    schild
    0.75
     Kou
    0.74
    ibaba
    0.74
    amaz
    0.73
    gui
    0.71
    ouk
    0.70
    ala
    0.68
    vu
    0.67
    uku
    0.67
    Activations Density 0.240%

    No Known Activations