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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. 14651
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    Explanations

    references to time in the past

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods, specifically past events

    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
    cius
    -0.74
    DERR
    -0.71
    Naz
    -0.66
    VALUE
    -0.65
    effic
    -0.65
    pex
    -0.64
     Pwr
    -0.63
     inhibitors
    -0.63
    bytes
    -0.63
    gencies
    -0.61
    POSITIVE LOGITS
     weekend
    1.08
    ebin
    0.94
    cture
    0.87
    fecture
    0.83
     week
    0.83
     afternoon
    0.76
     season
    0.73
     WEEK
    0.72
     Weekend
    0.72
    nder
    0.72
    Activations Density 0.065%

    No Known Activations