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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 8496
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    INDEX
    Explanations

    mentions of something being a top priority in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences 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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rawling
    -0.81
    iHUD
    -0.77
    haw
    -0.76
    imar
    -0.75
    apy
    -0.75
    rawl
    -0.71
    attering
    -0.71
    olds
    -0.70
    spir
    -0.69
    ingers
    -0.69
    POSITIVE LOGITS
     priority
    1.41
    priority
    1.18
     Priority
    1.12
     prioritize
    1.03
     priorit
    1.02
     priorities
    0.98
     proble
    0.96
     allocation
    0.89
     consideration
    0.84
     duty
    0.81
    Activations Density 0.008%

    No Known Activations