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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of neighbors and neighborhood interactions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of neighbors or neighborly interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inen
    -0.93
    uchin
    -0.82
    ename
    -0.81
    ulum
    -0.81
    uggage
    -0.79
    anche
    -0.78
    oola
    -0.78
    "]=>
    -0.77
    othal
    -0.77
    nesota
    -0.76
    POSITIVE LOGITS
     neighbor
    1.45
     neighbors
    1.39
     Neigh
    1.29
     neighbour
    1.22
     neighbours
    1.19
     Neighbor
    1.04
    Neigh
    0.96
     Neighborhood
    0.83
     neighb
    0.81
    bors
    0.80
    Activations Density 0.008%

    No Known Activations