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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 8156
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    oai_token-act-pair · gpt-3.5-turbo

    terms and concepts related to statistical modeling and analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itol
    -0.65
    Interstitial
    -0.64
    ModLoader
    -0.62
     Amen
    -0.60
    ãĥ¼ãĥ³
    -0.60
     Subway
    -0.59
    女
    -0.59
    wings
    -0.58
    ãĤ¼ãĤ¦ãĤ¹
    -0.58
     retaliate
    -0.57
    POSITIVE LOGITS
     unbiased
    1.04
     analys
    0.98
     analyzing
    0.97
     analy
    0.95
     eval
    0.94
     pse
    0.89
     analytical
    0.87
    analy
    0.85
     evaluating
    0.83
     analysis
    0.83
    Activations Density 1.109%

    No Known Activations