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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. 9-RES-JB
    6. 44
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    Explanations

    differences or distinctions in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that mention "difference."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ATA
    -0.81
    vez
    -0.80
    mberg
    -0.77
    rollers
    -0.74
    rive
    -0.73
    ãĥĦ
    -0.67
    å°Ĩ
    -0.66
    kamp
    -0.66
    ale
    -0.65
    ORE
    -0.64
    POSITIVE LOGITS
     between
    1.35
    between
    1.20
     Between
    1.13
    iveness
    1.10
    ials
    0.99
    iator
    0.95
    iating
    0.94
     maker
    0.86
    erence
    0.86
    ially
    0.78
    Activations Density 0.046%

    No Known Activations