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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. 3-RES-JB
    11. 5799
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    Explanations

    phrases related to systemic issues or risks

    oai_token-act-pair · gpt-3.5-turbo

    references to systemic issues and problems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nery
    -0.84
    quer
    -0.84
    kers
    -0.80
    spell
    -0.73
    liest
    -0.71
    rug
    -0.70
    leigh
    -0.70
    girl
    -0.70
    gat
    -0.70
    erer
    -0.69
    POSITIVE LOGITS
     systemic
    0.95
     racism
    0.90
    onduct
    0.83
    ultural
    0.81
     violations
    0.79
     overhaul
    0.78
    urally
    0.78
     consequences
    0.77
     implications
    0.77
    ized
    0.77
    Activations Density 0.011%

    No Known Activations