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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. 19458
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    anwhile
    -1.08
    rawdownloadcloneembedreportprint
    -0.74
     horizont
    -0.71
     Ada
    -0.69
     Paste
    -0.69
    nyder
    -0.69
    espie
    -0.68
     sten
    -0.67
     Protector
    -0.67
     GOODMAN
    -0.67
    POSITIVE LOGITS
    ¥µ
    1.36
    ĻĤ
    1.34
    Ł
    1.34
    ļ
    1.33
    Ķ
    1.31
    ²
    1.31
    ı
    1.30
    Ĥª
    1.28
    Ľ
    1.27
    ĭ
    1.26
    Activations Density 0.005%

    No Known Activations