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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. 6288
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    Explanations

    text related to progress, advancement, or moving forward in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to progress or moving ahead

    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
    azo
    -0.84
    pmwiki
    -0.67
    ATA
    -0.67
     box
    -0.64
    xs
    -0.62
    jah
    -0.61
    Brit
    -0.59
    ku
    -0.59
    rito
    -0.59
    colo
    -0.58
    POSITIVE LOGITS
    olicy
    0.88
    wards
    0.80
    WARD
    0.79
     puberty
    0.78
    stage
    0.73
    ï¸
    0.73
     progressing
    0.72
     compatibility
    0.72
    uberty
    0.71
    stairs
    0.70
    Activations Density 0.022%

    No Known Activations