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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. 15821
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    Explanations

    general terms indicating a variety or assortment of items

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the word "more."

    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
     2024
    -0.74
    xtap
    -0.68
    era
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    Disk
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    cture
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     1944
    -0.66
    atan
    -0.65
    pload
    -0.64
    gee
    -0.64
     Rite
    -0.63
    POSITIVE LOGITS
     importantly
    1.39
     than
    1.00
     alike
    0.97
     sophisticated
    0.92
     elaborate
    0.89
     consequ
    0.86
     extensive
    0.85
     advanced
    0.84
     refined
    0.82
     diverse
    0.81
    Activations Density 0.056%

    No Known Activations