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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 3
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    INDEX
    Explanations

    references to geographical locations and countries

    oai_token-act-pair · gpt-3.5-turbo

    geographical references and data related to locations

    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
     clutch
    -0.72
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.69
     greed
    -0.67
    gif
    -0.64
     whistleblower
    -0.63
    oggle
    -0.63
    ravity
    -0.62
    lihood
    -0.59
    hearted
    -0.59
     luc
    -0.58
    POSITIVE LOGITS
     geographically
    1.13
    outheast
    1.01
    outhern
    0.97
     southwestern
    0.96
     suburbs
    0.95
     Regions
    0.93
     counties
    0.91
    heast
    0.90
     southeastern
    0.89
     Route
    0.88
    Activations Density 1.043%

    No Known Activations