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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. 509
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    Explanations

    questions ending with a question mark

    oai_token-act-pair · gpt-3.5-turbo

    questions and interrogative phrases

    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
    ursions
    -0.82
     seizures
    -0.79
     overfl
    -0.78
     contag
    -0.76
     overflow
    -0.76
     activation
    -0.76
     engagement
    -0.75
     inund
    -0.75
     syn
    -0.74
     rehears
    -0.74
    POSITIVE LOGITS
     Herman
    0.88
     Leonardo
    0.85
     Adolf
    0.83
     Denis
    0.82
     Carly
    0.81
     Karl
    0.81
     Choi
    0.80
     Darth
    0.80
     Vincent
    0.80
     Louis
    0.79
    Activations Density 0.422%

    No Known Activations