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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. 7-RES-JB
    11. 7416
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    Explanations

    dates and times when events occurred

    oai_token-act-pair · gpt-3.5-turbo

    temporal references related to weeks and weekends

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gib
    -0.71
     multiplication
    -0.67
     tempo
    -0.62
     parity
    -0.58
     regression
    -0.58
     clipboard
    -0.58
     subtract
    -0.57
     parole
    -0.55
     trajectory
    -0.55
     inaction
    -0.55
    POSITIVE LOGITS
     afternoon
    0.98
     evening
    0.81
    flower
    0.76
     evenings
    0.75
    etsk
    0.75
    SPONSORED
    0.75
    igers
    0.74
    morning
    0.73
     mornings
    0.73
    ember
    0.72
    Activations Density 0.373%

    No Known Activations