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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. 7-RES-JB
    6. 16826
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    Explanations

    verbs related to activities or tasks

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and present participles indicating ongoing actions

    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
    reet
    -0.66
    lat
    -0.65
    heim
    -0.65
    cerning
    -0.62
     distinguishing
    -0.62
    nton
    -0.61
    webkit
    -0.59
    lo
    -0.57
    hester
    -0.57
    bal
    -0.57
    POSITIVE LOGITS
    irection
    0.73
    ependent
    0.70
    oaded
    0.66
     illegally
    0.66
     broke
    0.65
    ļé
    0.63
    oresc
    0.63
    entary
    0.62
     starve
    0.62
    GGGGGGGG
    0.61
    Activations Density 0.284%

    No Known Activations