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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. 9-RES-JB
    11. 17580
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    Explanations

    specific durations of time in hours and minutes

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and their associated measurements or durations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ourke
    -0.68
    DragonMagazine
    -0.64
    layer
    -0.64
    paio
    -0.62
    isoft
    -0.62
     Prairie
    -0.62
    FontSize
    -0.61
    ragon
    -0.61
    craft
    -0.61
     Cutter
    -0.60
    POSITIVE LOGITS
     mins
    0.86
    mins
    0.84
     minutes
    0.84
     ounces
    0.80
    mn
    0.78
     mos
    0.76
    pt
    0.74
     months
    0.73
    %)
    0.71
     days
    0.69
    Activations Density 0.164%

    No Known Activations