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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. 13410
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    INDEX
    Explanations

    phrases related to physical activities or mental tasks

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "exercise" referring to various activities or situations

    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
    oho
    -0.78
    fixed
    -0.75
    lines
    -0.69
    ymes
    -0.69
    ocide
    -0.67
    inki
    -0.65
    alez
    -0.64
    caps
    -0.64
    opher
    -0.63
    gets
    -0.62
    POSITIVE LOGITS
     exerc
    0.83
    icular
    0.78
     routines
    0.77
     regimen
    0.76
    manship
    0.75
    ercise
    0.74
    IVES
    0.73
    oleon
    0.71
    ments
    0.71
    ç·
    0.69
    Activations Density 0.027%

    No Known Activations