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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 19076
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kubrick
    -0.75
    ãĥ£
    -0.73
     Pound
    -0.66
     skating
    -0.62
    olson
    -0.62
     paving
    -0.60
     LCS
    -0.60
     Michaels
    -0.59
     highlighting
    -0.58
    beard
    -0.57
    POSITIVE LOGITS
    iced
    1.42
    itude
    1.36
    icing
    1.19
    icer
    1.13
    itors
    1.06
    ile
    1.06
    itor
    1.06
    ando
    1.02
    icit
    1.00
    ility
    1.00
    Activations Density 0.017%

    No Known Activations