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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. 1-RES-JB
    11. 2306
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    Explanations

    words related to stuffing or being puffed up

    oai_token-act-pair · gpt-3.5-turbo

    words related to food preparation and culinary descriptors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MAT
    -0.76
    journal
    -0.69
    MIC
    -0.66
    Colorado
    -0.65
    ©¶æ
    -0.64
     Deter
    -0.62
    Work
    -0.60
    needs
    -0.60
    dem
    -0.60
    home
    -0.59
    POSITIVE LOGITS
    uffed
    1.12
    uffs
    0.99
    nesday
    0.95
    olini
    0.91
    ifully
    0.88
    iful
    0.84
    uff
    0.80
    rontal
    0.78
    iflower
    0.77
    nesses
    0.76
    Activations Density 0.008%

    No Known Activations