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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. 68
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    Explanations

    words related to technological platforms and solutions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various digital and technological platforms

    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
     graves
    -0.74
     Memorial
    -0.72
    beck
    -0.70
    ãĥĥãĥī
    -0.70
     Tsukuyomi
    -0.66
     ozone
    -0.64
    ×ŀ
    -0.62
    aukee
    -0.62
    Damage
    -0.61
     msec
    -0.61
    POSITIVE LOGITS
     startups
    0.91
     platform
    0.90
    platform
    0.89
     unicorn
    0.89
     provider
    0.86
     startup
    0.86
    ologies
    0.84
    folio
    0.84
     integ
    0.82
     platforms
    0.82
    Activations Density 0.175%

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