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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 10344
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    Explanations

    instances of "what" followed by a comparison or contrast in the text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "what" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enburg
    -0.69
    ster
    -0.65
    eer
    -0.62
    jee
    -0.62
    robe
    -0.61
    ature
    -0.60
    adden
    -0.59
     Sao
    -0.59
     Gamb
    -0.58
    isher
    -0.58
    POSITIVE LOGITS
     happened
    1.15
     happens
    1.15
    soever
    1.12
     transpired
    1.02
     happ
    0.96
     constitutes
    0.94
     kinds
    0.90
     constituted
    0.87
     sorts
    0.85
     else
    0.83
    Activations Density 0.105%

    No Known Activations