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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 17827
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    Explanations

    phrases related to maximizing or reaching the maximum level of something

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical maxima or limits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    FORE
    -0.72
    CHO
    -0.68
     Moons
    -0.67
     Shib
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    tty
    -0.66
    bare
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     Forth
    -0.66
     Patent
    -0.66
     Guys
    -0.66
    RECT
    -0.65
    POSITIVE LOGITS
    imus
    1.22
     max
    0.97
    max
    0.96
    imum
    0.93
    imize
    0.90
    icum
    0.86
    imates
    0.85
     veter
    0.84
    nesota
    0.84
    eport
    0.82
    Activations Density 0.005%

    No Known Activations