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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. 11-RES-JB
    11. 12777
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    Explanations

    phrases related to how something is handled or managed

    oai_token-act-pair · gpt-3.5-turbo

    terms related to handling situations or tasks

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    worth
    -0.77
    ãģ®å®
    -0.73
    ittal
    -0.72
    Cola
    -0.70
    saf
    -0.69
    ovation
    -0.68
    onial
    -0.67
    isode
    -0.67
    SPONSORED
    -0.67
    ischer
    -0.67
    POSITIVE LOGITS
     emergencies
    1.16
     adversity
    1.08
     crises
    1.02
     situations
    1.01
     complexities
    0.99
     sensitive
    0.97
     disputes
    0.97
     tricky
    0.94
     logistics
    0.92
     disagreements
    0.90
    Activations Density 0.128%

    No Known Activations