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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. 7-RES-JB
    11. 231
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    Explanations

    information related to nutritional content and chemical compounds

    oai_token-act-pair · gpt-3.5-turbo

    specific nutritional and compositional information related to food, including proteins, fats, and carbohydrates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     horizont
    -0.59
    nen
    -0.58
    icip
    -0.56
    othal
    -0.56
     wrists
    -0.55
    "]=>
    -0.53
    cking
    -0.52
     choke
    -0.52
     vacated
    -0.51
    secut
    -0.51
    POSITIVE LOGITS
    chemy
    0.57
    ĨĴ
    0.54
    isine
    0.53
    products
    0.53
    ¯¯¯¯
    0.52
    ãĥŁ
    0.51
    properties
    0.51
    chemist
    0.50
     Faust
    0.49
    Ãĥ
    0.49
    Activations Density 1.467%

    No Known Activations