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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. 9-RES-JB
    11. 14328
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    Explanations

    references to quotations or direct speech

    oai_token-act-pair · gpt-3.5-turbo

    indicators of emotional or psychological distress

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nunes
    -0.72
     Gins
    -0.70
     neocons
    -0.68
     Gorsuch
    -0.67
    heit
    -0.67
     Jinping
    -0.66
     Thiel
    -0.66
    kees
    -0.65
     Pompe
    -0.65
    wolves
    -0.65
    POSITIVE LOGITS
    Scroll
    0.86
    Cra
    0.76
    KEN
    0.68
    Owner
    0.68
    arta
    0.67
    Police
    0.66
    Metro
    0.66
    hello
    0.66
    Channel
    0.65
    CBC
    0.65
    Activations Density 0.330%

    No Known Activations