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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. 4-RES-JB
    11. 2929
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    Explanations

    names of specific locations or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual or name

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

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.77
    ificantly
    -0.76
    ificant
    -0.76
    ALLY
    -0.76
    è¦ļéĨĴ
    -0.76
    mble
    -0.75
    æĸ¹
    -0.75
    anwhile
    -0.72
     thumbnail
    -0.69
    gerald
    -0.68
    POSITIVE LOGITS
    sten
    1.14
    stein
    0.90
    bach
    0.89
    owitz
    0.89
    itzer
    0.87
    ford
    0.87
    witz
    0.86
    cott
    0.85
    trop
    0.84
    ijn
    0.83
    Activations Density 0.005%

    No Known Activations