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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. 6297
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    Explanations

    names with the initial "L" along with some associated words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'L' followed by a number

    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
     Satanic
    -0.67
     âĶľ
    -0.67
    ãĥ¼ãĥĨãĤ£
    -0.66
    smanship
    -0.64
     err
    -0.64
     Prohibition
    -0.64
     beware
    -0.62
     mileage
    -0.62
     prohibition
    -0.61
     actionGroup
    -0.61
    POSITIVE LOGITS
    ibrarian
    1.27
    ifestyle
    1.22
    ocker
    1.20
    arkin
    1.20
    aptop
    1.14
    aughlin
    1.13
    acey
    1.12
    ayers
    1.12
    aund
    1.12
    ateral
    1.11
    Activations Density 0.027%

    No Known Activations