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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. 2-RES-JB
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    Explanations

    verbs related to actions that prevent something from happening

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with the concept of preventing various negative outcomes or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammy
    -0.84
    enegger
    -0.71
    geist
    -0.69
     Straw
    -0.64
    aturday
    -0.63
    edded
    -0.63
    Truth
    -0.63
    ebus
    -0.63
    intent
    -0.61
    Word
    -0.61
    POSITIVE LOGITS
    ative
    0.97
     inhib
    0.88
     detection
    0.88
     regress
    0.77
    ively
    0.77
     duplicate
    0.74
     misunderstand
    0.74
     prevented
    0.73
     allev
    0.73
     conced
    0.72
    Activations Density 0.034%

    No Known Activations