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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. 9-RES-JB
    6. 14688
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    Explanations

    companies or professionals that specialize in specific services or fields such as technical services, music expertise, storage production, computer vision, tax compliance, education for struggling students, and more

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "specialize" and describe areas of expertise or specialization

    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
    é»Ĵ
    -0.82
    soDeliveryDate
    -0.78
    rio
    -0.75
    DragonMagazine
    -0.74
    Father
    -0.71
     Sabha
    -0.70
    falls
    -0.70
    ographer
    -0.70
    brother
    -0.69
    boats
    -0.68
    POSITIVE LOGITS
     analyzing
    1.12
     optimizing
    1.11
     combating
    1.11
     designing
    1.09
     detecting
    1.08
     preserving
    1.04
     evaluating
    1.03
     interpreting
    1.03
     treating
    1.03
     assessing
    1.02
    Activations Density 0.216%

    No Known Activations