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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. 10-RES-JB
    11. 4601
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    Explanations

    specific actions or procedures related to different tasks

    oai_token-act-pair · gpt-3.5-turbo

    actions related to processing and modifying substances or materials

    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
    ãĤ´ãĥ³
    -0.72
    ortment
    -0.68
    ĸļ
    -0.66
    istics
    -0.66
    arak
    -0.64
    hon
    -0.63
    uyomi
    -0.63
    âĹ¼
    -0.61
    ptroller
    -0.61
    Trigger
    -0.61
    POSITIVE LOGITS
     oneself
    0.98
     everything
    0.93
     certain
    0.89
     entire
    0.86
     objects
    0.84
     anything
    0.84
     your
    0.83
     individual
    0.82
     individuals
    0.81
     items
    0.80
    Activations Density 0.297%

    No Known Activations