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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. 7496
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    Explanations

    phrases indicating statements or claims

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include claims or assertions about events or states of being

    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
    intosh
    -0.67
    irez
    -0.67
    emort
    -0.63
    pite
    -0.63
    patch
    -0.61
    DOWN
    -0.61
    leground
    -0.60
    ortunate
    -0.60
     PLUS
    -0.59
     Reconstruction
    -0.58
    POSITIVE LOGITS
     behave
    0.79
     embody
    0.76
    esty
    0.72
     manipulate
    0.71
     perform
    0.71
    asted
    0.70
     satisfy
    0.68
     adhere
    0.67
    ads
    0.67
     speak
    0.66
    Activations Density 0.105%

    No Known Activations