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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. 10-RES-JB
    6. 10873
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    Explanations

    numbers and percentages

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicative of recommendations or suggestions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Snowden
    -0.56
     someday
    -0.55
    last
    -0.53
     Clapper
    -0.52
     sooner
    -0.52
     Guant
    -0.51
    olars
    -0.49
     sometime
    -0.47
    insk
    -0.47
    CVE
    -0.47
    POSITIVE LOGITS
     thereof
    0.61
    him
    0.59
    edo
    0.54
    emale
    0.51
    ãĥ¼ãĥ«
    0.48
     versa
    0.48
    SourceFile
    0.47
     confir
    0.46
    alian
    0.46
     ya
    0.46
    Activations Density 0.789%

    No Known Activations