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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. 10-RES-JB
    6. 19407
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    Explanations

    words related to ethical and moral concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to moral concepts and ethics

    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
    xual
    -0.86
    -+
    -0.75
    rams
    -0.74
    oday
    -0.72
    mble
    -0.69
     Twice
    -0.69
    nces
    -0.68
    rooms
    -0.68
    Lago
    -0.67
     Alexa
    -0.65
    POSITIVE LOGITS
    istic
    1.18
    izing
    1.10
     compass
    1.10
     indignation
    1.08
    ising
    1.08
     dile
    1.05
     equival
    1.02
     hazard
    1.00
     obligation
    0.99
     relat
    0.99
    Activations Density 0.031%

    No Known Activations