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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. 3-RES-JB
    6. 1007
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    INDEX
    Explanations

    dates and time-related information

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate significant events or changes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abus
    -0.46
    latable
    -0.44
    ruption
    -0.43
    gins
    -0.43
    ggle
    -0.42
     Helmet
    -0.42
    ilege
    -0.42
    ergy
    -0.42
    ilet
    -0.41
    Chinese
    -0.41
    POSITIVE LOGITS
    ãĥĩãĤ£
    0.60
     nonetheless
    0.51
     pse
    0.48
    ãĥĺ
    0.48
    ãĥĦ
    0.47
     srf
    0.47
     compr
    0.45
    bably
    0.45
     pal
    0.44
    conservancy
    0.43
    Activations Density 5.098%

    No Known Activations