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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. 12026
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    INDEX
    Explanations

    mentions of top priorities or importance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "priority" in various contexts

    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
    ingers
    -0.85
    urst
    -0.73
    reens
    -0.72
    bane
    -0.71
    ARB
    -0.71
    RN
    -0.69
    redd
    -0.69
    rawling
    -0.68
    ken
    -0.68
    orks
    -0.67
    POSITIVE LOGITS
     priority
    1.25
    priority
    1.06
     priorit
    0.98
     prioritize
    0.97
     Priority
    0.96
     priorities
    0.94
     duty
    0.91
     allocation
    0.90
     consideration
    0.89
     assignment
    0.74
    Activations Density 0.009%

    No Known Activations