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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. 16623
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    INDEX
    Explanations

    mentions of milk-related items or products

    oai_token-act-pair · gpt-3.5-turbo

    references to milk or dairy products

    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
     compr
    -0.92
    IELD
    -0.74
    OPLE
    -0.73
    BOOK
    -0.69
     Unch
    -0.69
     fright
    -0.67
    eering
    -0.65
     Warriors
    -0.65
     holiest
    -0.63
     dstg
    -0.62
    POSITIVE LOGITS
    waukee
    1.25
    isec
    1.08
    ksh
    1.02
    estone
    0.97
    estones
    0.97
    mil
    0.93
    ieu
    0.91
    imet
    0.90
    enium
    0.88
    sie
    0.88
    Activations Density 0.005%

    No Known Activations