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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. 5-RES-JB
    6. 16477
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    INDEX
    Explanations

    instances of the word "bit" followed by a value indicating significance or intensity

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a moderate or slight degree of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inarily
    -0.80
    ocity
    -0.79
    ovies
    -0.78
     Siber
    -0.78
    endars
    -0.75
    apons
    -0.72
    aspers
    -0.72
    itars
    -0.71
    doms
    -0.70
    itures
    -0.70
    POSITIVE LOGITS
     bit
    0.92
    umen
    0.92
     reminiscent
    0.75
     peek
    0.74
     prick
    0.71
     chunk
    0.70
    terness
    0.69
    ener
    0.68
     cryptic
    0.65
     swe
    0.64
    Activations Density 0.019%

    No Known Activations