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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. 6498
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    lain
    -0.85
    hips
    -0.83
    icles
    -0.80
     Parables
    -0.76
    yrights
    -0.75
    ary
    -0.74
    icle
    -0.72
    ous
    -0.72
    erve
    -0.72
     Granger
    -0.71
    POSITIVE LOGITS
    actively
    1.03
    vers
    0.99
    econom
    0.99
    active
    0.97
    ptions
    0.97
    economic
    0.90
    spective
    0.89
    jo
    0.88
    ctr
    0.88
    zzo
    0.88
    Activations Density 0.041%

    No Known Activations