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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. 4-RES-JB
    11. 14703
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    oai_token-act-pair · gpt-3.5-turbo

    phrases containing "of" and its frequency in the context provided

    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
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    Negative Logits
    ashtra
    -0.88
    wcs
    -0.81
    resistant
    -0.78
    pec
    -0.78
     apart
    -0.77
     conduc
    -0.76
    NetMessage
    -0.76
     challeng
    -0.75
    anooga
    -0.75
    eneg
    -0.74
    POSITIVE LOGITS
     STATS
    0.77
     Life
    0.71
     sorts
    0.69
     Freed
    0.68
     Magical
    0.65
     Trader
    0.65
     ours
    0.65
     Sierra
    0.64
     Athena
    0.63
     Lands
    0.61
    Activations Density 0.051%

    No Known Activations