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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. 9-RES-JB
    6. 8453
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    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
    Weak
    -0.64
    Quote
    -0.62
     multiplying
    -0.62
     Definition
    -0.60
     Bound
    -0.59
    destruct
    -0.58
    ³³³³
    -0.58
    Plex
    -0.57
    Tank
    -0.57
    Georg
    -0.57
    POSITIVE LOGITS
     oversaw
    1.39
     oversees
    1.33
     specializes
    1.24
     participated
    1.20
     attended
    1.17
     owns
    1.12
     attends
    1.11
     toured
    1.11
     consulted
    1.08
     specialize
    1.06
    Activations Density 0.128%

    No Known Activations