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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. 2-RES-JB
    11. 21723
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    keywords related to graphs or graphing, like "graph paper", "graphically gorgeous", "graph theory", "connected graph", etc

    oai_token-act-pair · gpt-3.5-turbo

    references to graphs

    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
    mediated
    -0.68
    birth
    -0.67
    spoken
    -0.67
    uders
    -0.66
    utive
    -0.65
     presumptive
    -0.64
    sight
    -0.62
     Liberties
    -0.61
    ollywood
    -0.61
    practice
    -0.61
    POSITIVE LOGITS
    ically
    1.01
     graph
    0.96
    graph
    0.93
    alogy
    0.92
     graphs
    0.87
     resil
    0.86
    ql
    0.85
    Graph
    0.81
     Graph
    0.78
    iq
    0.76
    Activations Density 0.009%

    No Known Activations