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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. 3112
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    Explanations

    mentions of specific technology brands and related computer hardware components

    oai_token-act-pair · gpt-3.5-turbo

    references to specific computer brands and related hardware

    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
    bard
    -0.76
    olan
    -0.75
    othy
    -0.73
    stone
    -0.72
    robe
    -0.70
    bread
    -0.70
    leton
    -0.70
    omo
    -0.69
    rod
    -0.68
    bed
    -0.68
    POSITIVE LOGITS
     ASUS
    1.09
     motherboard
    1.07
     Asus
    1.00
     overcl
    0.96
     chipset
    0.89
     MSI
    0.87
    éĹĺ
    0.75
     GeForce
    0.74
     GTX
    0.73
    essed
    0.72
    Activations Density 0.019%

    No Known Activations