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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. 0-RES-JB
    6. 192
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    INDEX
    Explanations

    words related to levels, such as threat level or sea level

    oai_token-act-pair · gpt-3.5-turbo

    references to varying degrees or levels of intensity or impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perse
    -0.80
    letters
    -0.73
    oche
    -0.69
    anson
    -0.68
    iat
    -0.66
    pict
    -0.66
    Europe
    -0.65
    amas
    -0.64
    eston
    -0.64
    icles
    -0.64
    POSITIVE LOGITS
     level
    3.66
     levels
    2.60
    level
    2.59
     Level
    2.42
    Level
    2.25
    levels
    2.24
     LEVEL
    2.21
     Levels
    2.00
     lvl
    1.68
     tier
    1.48
    Activations Density 0.026%

    No Known Activations