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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. 6-RES-JB
    11. 5549
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    Explanations

    principles, ethics, and morality-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to ethics and moral principles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acas
    -0.63
    dor
    -0.62
    zhou
    -0.61
    é¾į
    -0.59
    apons
    -0.58
    ij
    -0.58
    使
    -0.57
    cffff
    -0.55
    cli
    -0.55
    scar
    -0.55
    POSITIVE LOGITS
     coincidence
    0.82
     nutshell
    0.68
     shenan
    0.67
     itch
    0.63
    brainer
    0.63
     pecul
    0.62
     kinda
    0.58
     creek
    0.57
     sill
    0.57
    !"
    0.56
    Activations Density 0.988%

    No Known Activations