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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. 4-RES-JB
    11. 6100
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    Explanations

    phrases related to items or actions that are deemed important or a top priority

    oai_token-act-pair · gpt-3.5-turbo

    references to priorities, especially in contexts involving safety and funding

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

    No Comments

    Negative Logits
    ingers
    -0.78
    ARB
    -0.76
    reens
    -0.73
    tiny
    -0.73
    inally
    -0.72
    olds
    -0.71
    urst
    -0.71
    rawling
    -0.71
    ocks
    -0.70
    reenshots
    -0.69
    POSITIVE LOGITS
     priority
    1.22
     duty
    1.01
    priority
    1.01
     priorities
    0.97
     priorit
    0.95
     prioritize
    0.95
     Priority
    0.94
     consideration
    0.93
     allocation
    0.91
    duty
    0.76
    Activations Density 0.013%

    No Known Activations