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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. 9-RES-JB
    11. 9056
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    Explanations

    terms related to unintended consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to unintended or unwanted outcomes

    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
    emark
    -0.79
    Cola
    -0.79
    cius
    -0.79
    undy
    -0.78
    ardless
    -0.78
    rity
    -0.77
    anguage
    -0.76
    rix
    -0.76
    itaire
    -0.75
    lished
    -0.74
    POSITIVE LOGITS
     consequence
    1.12
     pregnancies
    1.03
     consequences
    0.96
     arrival
    0.88
    aneous
    0.88
     complication
    0.86
    aneously
    0.83
     interruption
    0.81
     complications
    0.81
     deaths
    0.80
    Activations Density 0.132%

    No Known Activations