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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. 18862
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    INDEX
    Explanations

    phrases related to making plans or preparations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to intentions or preparations for the future

    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
    weed
    -0.67
    govtrack
    -0.63
    shire
    -0.60
     Figures
    -0.59
     Mustang
    -0.58
    ds
    -0.57
    aghd
    -0.55
    gars
    -0.55
    anga
    -0.55
    idge
    -0.54
    POSITIVE LOGITS
     Parenthood
    1.07
    paren
    1.01
    escape
    0.91
    acci
    0.78
    etary
    0.77
     beforehand
    0.76
    isphere
    0.76
     pregnancies
    0.74
    ÄŁ
    0.72
    arity
    0.72
    Activations Density 0.047%

    No Known Activations