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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. 24556
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    Explanations

    phrases related to public appearances

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to speaking engagements and appearances

    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
    Not in Any Lists

    No Comments

    Negative Logits
    terness
    -0.73
    rw
    -0.71
    rification
    -0.69
    ById
    -0.69
     decaying
    -0.65
    effic
    -0.65
     dens
    -0.64
    dp
    -0.64
     inev
    -0.63
     instinct
    -0.62
    POSITIVE LOGITS
     onstage
    0.98
     booth
    0.93
     keynote
    0.92
     attendees
    0.86
    oway
    0.85
     podium
    0.83
     attendance
    0.83
     attend
    0.81
     lectures
    0.80
     exhib
    0.79
    Activations Density 0.377%

    No Known Activations