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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. 10-RES-JB
    11. 18660
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    oai_token-act-pair · gpt-3.5-turbo

    words related to processes or actions involving agreement or consent

    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
     intention
    -0.70
     Gins
    -0.63
     discovery
    -0.62
     Furious
    -0.61
     bargain
    -0.59
     Shutterstock
    -0.59
     balloons
    -0.57
     Barg
    -0.56
     caption
    -0.55
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.55
    POSITIVE LOGITS
    oustic
    1.24
    rylic
    1.10
    ulum
    1.07
    ademic
    1.06
    anth
    1.02
    onda
    1.02
    osta
    1.01
    henko
    1.00
    rosse
    0.99
    celer
    0.99
    Activations Density 0.032%

    No Known Activations