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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. 8-RES-JB
    11. 23712
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    INDEX
    Explanations

    mentions of specific foods or ingredients

    oai_token-act-pair · gpt-3.5-turbo

    references to food and meals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    also
    -0.65
    ASHINGTON
    -0.62
    POS
    -0.58
     largeDownload
    -0.57
    ench
    -0.57
    yssey
    -0.55
     indefinite
    -0.54
    stood
    -0.52
    ifestyle
    -0.52
    ŃĶ
    -0.51
    POSITIVE LOGITS
     ;)
    1.10
     ðŁĻĤ
    0.94
     :-)
    0.90
     :)
    0.89
    !).
    0.82
     ðŁĺ
    0.82
    ?).
    0.82
     or
    0.81
     :(
    0.81
     haha
    0.81
    Activations Density 1.417%

    No Known Activations