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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. 3-RES-JB
    11. 21013
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    INDEX
    Explanations

    phrases related to common or everyday activities or items

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of being ordinary

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    haw
    -0.72
    Sov
    -0.70
    lez
    -0.66
    Notable
    -0.65
    Recomm
    -0.65
    giving
    -0.62
    zik
    -0.60
    oran
    -0.59
    Knight
    -0.59
    olic
    -0.58
    POSITIVE LOGITS
    ordinary
    1.14
     ordinary
    1.04
     mortals
    0.97
     sized
    0.86
     mortal
    0.81
     everyday
    0.78
    isation
    0.77
     human
    0.74
    ised
    0.72
     weekday
    0.72
    Activations Density 0.007%

    No Known Activations