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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8338
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     occasionally
    -0.72
     depending
    -0.71
    Interstitial
    -0.70
     specialize
    -0.69
     somet
    -0.69
    pmwiki
    -0.68
     whenever
    -0.67
    ulton
    -0.67
     periodically
    -0.67
     situations
    -0.66
    POSITIVE LOGITS
     Lavrov
    0.89
     Flynn
    0.81
     Tillerson
    0.79
     Cohn
    0.78
     Sessions
    0.78
     Ms
    0.78
     MH
    0.76
     Harvey
    0.76
     Pruitt
    0.75
     Garland
    0.75
    Activations Density 0.428%

    No Known Activations