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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. 8-RES-JB
    11. 175
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    Explanations

    interviews or conversations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of interviews or conversations with individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     inflic
    -0.69
    matter
    -0.68
    itialized
    -0.63
     hurting
    -0.62
    ãĥĻ
    -0.61
    HCR
    -0.61
    coming
    -0.61
    )</
    -0.60
     raping
    -0.59
    MpServer
    -0.58
    POSITIVE LOGITS
     VICE
    0.74
     undercover
    0.73
     knowledgeable
    0.72
    Sources
    0.67
     Goodman
    0.67
    etheus
    0.66
    iless
    0.66
     Mike
    0.66
     Dominic
    0.66
     Rory
    0.66
    Activations Density 0.189%

    No Known Activations