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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. 3-RES-JB
    11. 8740
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    Explanations

    names related to individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    words related to various types of clusters or groupings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ecause
    -0.65
    eworks
    -0.64
    ODUCT
    -0.63
     nonex
    -0.62
    cause
    -0.61
    Iv
    -0.61
    oret
    -0.59
    epad
    -0.58
    othermal
    -0.58
     PRESIDENT
    -0.57
    POSITIVE LOGITS
    è¦ļéĨĴ
    0.87
    fuck
    0.82
    culosis
    0.79
    rant
    0.78
    rade
    0.76
    inates
    0.76
     reel
    0.75
    CHAT
    0.70
    inately
    0.70
    aser
    0.70
    Activations Density 0.010%

    No Known Activations