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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. 4-RES-JB
    11. 12712
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    INDEX
    Explanations

    phrases related to industrial production and manufacturing

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of production in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cknowled
    -0.79
    laus
    -0.78
    nee
    -0.72
     Brow
    -0.71
    olulu
    -0.69
    leans
    -0.68
    uckle
    -0.67
    eneg
    -0.66
    EGA
    -0.65
    lit
    -0.63
    POSITIVE LOGITS
     quotas
    0.87
     output
    0.78
     production
    0.74
     ministry
    0.71
     Production
    0.70
    ivism
    0.69
     capacity
    0.67
     productivity
    0.66
    artifacts
    0.66
    ocity
    0.66
    Activations Density 0.023%

    No Known Activations