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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. 17608
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    Explanations

    terms related to nutrient intake and medical conditions associated with it

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of intake or dietary consumption

    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
    iev
    -0.67
     Coat
    -0.64
    pton
    -0.62
     Barn
    -0.62
     Colon
    -0.61
    robe
    -0.61
    HCR
    -0.60
     ITV
    -0.59
    Secondly
    -0.59
     Hipp
    -0.58
    POSITIVE LOGITS
     intake
    1.18
     Intake
    1.14
     manifold
    1.09
     intakes
    1.04
    ptions
    0.89
    ãĥ¼ãĥĨãĤ£
    0.88
    eteria
    0.86
    ered
    0.84
    iture
    0.82
    ppo
    0.77
    Activations Density 0.013%

    No Known Activations