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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. 5-RES-JB
    6. 24553
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    Explanations

    questions starting with "Can"

    oai_token-act-pair · gpt-3.5-turbo

    questions beginning with the word "Can."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VERTISEMENT
    -0.67
    edient
    -0.63
    direction
    -0.62
    eering
    -0.60
     striving
    -0.60
     honoring
    -0.58
    tube
    -0.57
     CPI
    -0.57
     pane
    -0.57
     thirds
    -0.56
    POSITIVE LOGITS
    't
    1.39
    berra
    1.23
    adian
    1.09
    vas
    0.99
    NOT
    0.96
    opy
    0.88
    isters
    0.83
    ister
    0.81
    tera
    0.80
    atell
    0.80
    Activations Density 0.047%

    No Known Activations