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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. 4-RES-JB
    6. 4979
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    Explanations

    locations or geographic features, particularly peaks or mountains

    oai_token-act-pair · gpt-3.5-turbo

    references to elevated landforms or geographical features

    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
     bowel
    -0.72
     Swarm
    -0.63
     Lug
    -0.62
    tarians
    -0.62
    urg
    -0.61
     sidel
    -0.61
     contribut
    -0.61
    actionDate
    -0.61
     neurot
    -0.61
    party
    -0.59
    POSITIVE LOGITS
     Peaks
    0.92
    ciation
    0.79
    nown
    0.78
    lopp
    0.78
    scl
    0.77
    regon
    0.77
    ãĤ¤ãĥĪ
    0.76
    folios
    0.75
    iddles
    0.75
    paio
    0.74
    Activations Density 0.040%

    No Known Activations