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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. 1-RES-JB
    11. 16074
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    Explanations

    words starting with 'et' and followed by a high number

    oai_token-act-pair · gpt-3.5-turbo

    instances of the substring 'et'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Savannah
    -0.72
     Witcher
    -0.66
     Conquer
    -0.64
    wcs
    -0.64
     Apostle
    -0.64
     Archangel
    -0.64
     Sins
    -0.62
    é¾įåĸļ士
    -0.62
    ¥ŀ
    -0.61
    Downloadha
    -0.60
    POSITIVE LOGITS
    et
    1.30
    ilon
    1.03
    ilde
    0.99
    ool
    0.95
    ernal
    0.93
    imer
    0.90
    etus
    0.88
    ropolis
    0.88
    etting
    0.87
    aylor
    0.87
    Activations Density 0.018%

    No Known Activations