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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. 6290
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    Explanations

    phrases describing different methods or approaches to doing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating methods or ways to accomplish actions

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     Needs
    -0.72
    lights
    -0.68
     è£ıè¦ļéĨĴ
    -0.67
    Cho
    -0.66
    rained
    -0.66
     Provided
    -0.66
    pins
    -0.65
     Bened
    -0.63
    ancies
    -0.62
    Parameters
    -0.62
    POSITIVE LOGITS
     accomplish
    1.10
     alleviate
    1.07
     achieve
    1.06
     cope
    1.05
     mitigate
    1.04
     dispose
    1.03
     visualize
    1.03
     counteract
    1.03
     differentiate
    1.02
     commemorate
    1.02
    Activations Density 0.057%

    No Known Activations