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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. 2786
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    INDEX
    Explanations

    phrases related to numbers and measurements

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases indicating significant quantities or measures

    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
    quickShipAvailable
    -0.72
     "$:/
    -0.67
     SetFontSize
    -0.60
     Scrolls
    -0.60
    tery
    -0.60
     Thu
    -0.60
    ebus
    -0.60
     Tue
    -0.60
     peeled
    -0.59
    yi
    -0.59
    POSITIVE LOGITS
    venge
    1.24
     extent
    1.06
    livion
    0.99
     destinations
    0.83
     lengths
    0.81
     detriment
    0.80
    rouse
    0.78
     depths
    0.75
     tune
    0.71
     extremes
    0.71
    Activations Density 0.474%

    No Known Activations