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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. 11-RES-JB
    6. 3935
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    Explanations

    names and related terms including "Max"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Max."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Äĩ
    -0.63
    GROUND
    -0.58
    selves
    -0.57
     tack
    -0.57
    ATIONS
    -0.57
    AMES
    -0.56
     revolving
    -0.56
    ARY
    -0.56
    ATIONAL
    -0.56
    FORE
    -0.56
    POSITIVE LOGITS
    imus
    1.58
    imil
    1.48
    imize
    1.44
    imal
    1.26
    ima
    1.18
    imo
    1.10
    ims
    1.08
    ime
    1.07
    imum
    0.97
    imen
    0.96
    Activations Density 0.038%

    No Known Activations