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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. 17182
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    Explanations

    words related to nutrients

    oai_token-act-pair · gpt-3.5-turbo

    terms related to nutrients and dietary health

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    76561
    -0.76
    cker
    -0.71
    ker
    -0.68
    gotten
    -0.67
    aday
    -0.63
    akedown
    -0.63
     wiret
    -0.62
    Rated
    -0.61
    eln
    -0.61
    neys
    -0.60
    POSITIVE LOGITS
    ritional
    1.40
    rients
    1.34
     nutrients
    1.16
     nutrit
    1.01
     nutrient
    1.00
    rient
    0.98
     fert
    0.95
    rition
    0.95
     nour
    0.88
     supplementation
    0.86
    Activations Density 0.012%

    No Known Activations