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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. 21114
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    Explanations

    words related to chipping, unzipping, and breaking things

    oai_token-act-pair · gpt-3.5-turbo

    words related to the action of sipping or related activities

    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
     Surviv
    -0.73
    taboola
    -0.68
     damned
    -0.67
     warr
    -0.66
    amins
    -0.65
    WAY
    -0.64
     Forsaken
    -0.64
     guiName
    -0.62
    sat
    -0.61
     Fortress
    -0.61
    POSITIVE LOGITS
    etsk
    0.92
    otent
    0.87
    psey
    0.85
    ilateral
    0.83
    artisan
    0.81
    arent
    0.81
    ips
    0.80
    OPLE
    0.80
    inion
    0.80
    */(
    0.80
    Activations Density 0.024%

    No Known Activations