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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. 6-RES-JB
    11. 7556
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    Explanations

    mention of events happening during specific time periods

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific events or activities that took place during particular time frames

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fingerprints
    -0.74
     oranges
    -0.69
     pse
    -0.68
     wiser
    -0.67
     Genie
    -0.67
    ById
    -0.64
    inates
    -0.62
    psc
    -0.61
     Saudis
    -0.60
     suppliers
    -0.59
    POSITIVE LOGITS
     period
    0.81
    imester
    0.80
    trial
    0.78
    session
    0.77
    panic
    0.74
     captcha
    0.71
     downtime
    0.70
     periods
    0.70
     trials
    0.69
    regnancy
    0.69
    Activations Density 0.198%

    No Known Activations