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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. 15912
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    Explanations

    words related to governmental offices and departments

    oai_token-act-pair · gpt-3.5-turbo

    references to various governmental offices

    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
    oise
    -0.74
    âķIJâķIJ
    -0.71
    udeau
    -0.70
    ushima
    -0.69
     Kaine
    -0.68
    itious
    -0.66
    storms
    -0.65
    hered
    -0.64
    nir
    -0.64
    ãĤ½
    -0.63
    POSITIVE LOGITS
     Office
    0.94
     365
    0.93
     Depot
    0.83
     Desk
    0.78
    Office
    0.78
    ureau
    0.73
     Paper
    0.70
     Director
    0.70
     Department
    0.67
     Personnel
    0.67
    Activations Density 0.024%

    No Known Activations