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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. 16039
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    INDEX
    Explanations

    nutritional information, especially related to carbohydrates, fats, and proteins

    oai_token-act-pair · gpt-3.5-turbo

    nutritional values and measurements related to food ingredients

    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
     scrut
    -0.72
    learn
    -0.66
    stru
    -0.63
     timetable
    -0.61
     compr
    -0.59
    qqa
    -0.59
     Pagan
    -0.58
     imag
    -0.58
     Crane
    -0.57
     pse
    -0.57
    POSITIVE LOGITS
    omez
    0.90
    arettes
    0.89
    onz
    0.88
    reens
    0.85
     servings
    0.85
    bps
    0.83
     bottles
    0.82
    +.
    0.81
    ourmet
    0.81
    hz
    0.80
    Activations Density 0.017%

    No Known Activations