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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. 9-RES-JB
    6. 17001
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    Explanations

    references to or mentions of neighbors

    oai_token-act-pair · gpt-3.5-turbo

    references to neighbors or neighboring relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uggage
    -0.82
    othal
    -0.77
    indal
    -0.76
    enei
    -0.76
    obin
    -0.75
    inen
    -0.75
    anwhile
    -0.73
    itech
    -0.70
    aneers
    -0.69
    xit
    -0.68
    POSITIVE LOGITS
     neighbor
    1.09
     Neigh
    1.07
     neighbors
    0.98
     neighbour
    0.94
    liness
    0.92
    bors
    0.91
    folk
    0.87
     neighbours
    0.86
     Neighbor
    0.84
    hood
    0.81
    Activations Density 0.034%

    No Known Activations