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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. 6-RES-JB
    6. 3318
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    Explanations

    expressions indicating a key point or critical aspect in a discussion

    oai_token-act-pair · gpt-3.5-turbo

    references to the presence of significant points or concepts in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itialized
    -0.64
    visors
    -0.64
     Eclipse
    -0.61
    ggle
    -0.55
    UTH
    -0.54
    llor
    -0.54
     bowel
    -0.54
    acci
    -0.54
     Spending
    -0.53
     Heights
    -0.53
    POSITIVE LOGITS
    abouts
    1.63
    tical
    1.42
    tics
    1.37
    tic
    1.24
    here
    0.79
    with
    0.74
     guiActiveUn
    0.74
    upon
    0.72
    fires
    0.72
    adays
    0.69
    Activations Density 0.047%

    No Known Activations