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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. 10-RES-JB
    11. 3125
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    Explanations

    phrases related to being ahead of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to future planning or scheduling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    een
    -0.69
    cu
    -0.66
    ucc
    -0.66
    ruce
    -0.63
    OY
    -0.61
    ynski
    -0.60
     violated
    -0.59
    oga
    -0.58
    yne
    -0.57
    BACK
    -0.57
    POSITIVE LOGITS
     schedule
    1.42
     curve
    0.95
     time
    0.85
     schedules
    0.83
     scheduled
    0.82
    dates
    0.79
     pace
    0.77
    pend
    0.77
     timet
    0.74
    sembly
    0.73
    Activations Density 0.053%

    No Known Activations