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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
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    Explanations

    phrases related to research and studies conducted by researchers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of researchers and their activities

    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
     Tribal
    -0.66
     Maiden
    -0.65
     Judgment
    -0.59
     Blaze
    -0.59
     1914
    -0.58
    cow
    -0.58
     Crusader
    -0.58
    AAAA
    -0.57
     Passage
    -0.57
     Valkyrie
    -0.56
    POSITIVE LOGITS
    hran
    0.96
    sonian
    0.93
    ynthesis
    0.91
    Researchers
    0.90
     Researchers
    0.87
    ĨĴ
    0.85
     researcher
    0.84
    essor
    0.82
    hip
    0.81
    itute
    0.80
    Activations Density 0.025%

    No Known Activations