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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. 9-RES-JB
    6. 11599
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    Explanations

    sentences that end with a full stop

    oai_token-act-pair · gpt-3.5-turbo

    sentences expressing positive evaluations or reviews

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idal
    -0.80
     contingency
    -0.80
     involuntary
    -0.78
     renegoti
    -0.77
     casualty
    -0.77
     inference
    -0.76
     determin
    -0.76
     disadvantage
    -0.74
     concess
    -0.73
    uer
    -0.72
    POSITIVE LOGITS
     Firstly
    1.54
     Especially
    1.51
     Located
    1.37
     Lots
    1.34
     Particularly
    1.32
     Featuring
    1.29
     Including
    1.29
     Seriously
    1.27
     Literally
    1.26
     Having
    1.25
    Activations Density 0.385%

    No Known Activations