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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. 5910
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    Explanations

    words related to dietary fat content, particularly focusing on saturated fat

    oai_token-act-pair · gpt-3.5-turbo

    the term "saturated" and related variations, particularly in contexts involving dietary or environmental factors

    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
     Respect
    -0.72
    bsite
    -0.70
     disappro
    -0.67
    annis
    -0.66
    friend
    -0.65
     CLSID
    -0.65
    hum
    -0.65
    repair
    -0.63
    uni
    -0.62
     stub
    -0.61
    POSITIVE LOGITS
    aturated
    1.03
     saturated
    0.97
    ted
    0.86
    quished
    0.82
    iated
    0.82
    omial
    0.80
    antha
    0.80
    kered
    0.79
    ategory
    0.78
    ciating
    0.78
    Activations Density 0.012%

    No Known Activations