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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. 18644
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    INDEX
    Explanations

    numerical identifiers such as identification numbers and list items

    oai_token-act-pair · gpt-3.5-turbo

    numeric identifiers or codes associated with various items or entries

    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
     gain
    -0.77
     pasture
    -0.69
    itably
    -0.66
     gardens
    -0.66
     graceful
    -0.65
     countryside
    -0.64
     halls
    -0.64
     landscapes
    -0.64
     jog
    -0.63
    etimes
    -0.62
    POSITIVE LOGITS
    CB
    1.05
    307
    0.84
    代
    0.79
    446
    0.79
    Quality
    0.78
    DragonMagazine
    0.76
    606
    0.76
    132
    0.76
    134
    0.75
    247
    0.75
    Activations Density 0.033%

    No Known Activations