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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. 20111
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    Explanations

    temperature-related terms

    oai_token-act-pair · gpt-3.5-turbo

    temperature-related terms

    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
    ION
    -0.80
     Drugs
    -0.75
    atform
    -0.74
     Barkley
    -0.73
     Palmer
    -0.72
     Spending
    -0.72
    heid
    -0.70
     Sack
    -0.69
     Vulkan
    -0.68
     Mandela
    -0.68
    POSITIVE LOGITS
    porary
    1.30
    perature
    1.18
    tem
    1.13
     tem
    1.10
    perate
    1.05
    plates
    1.02
    pos
    1.01
    arily
    0.97
    erity
    0.93
    achine
    0.92
    Activations Density 0.008%

    No Known Activations