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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. 6754
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of purposes or intended uses

    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
    Ped
    -0.71
     Buffett
    -0.66
     Sisters
    -0.65
     Alps
    -0.63
     Neighbor
    -0.63
     Messi
    -0.62
     Sierra
    -0.62
     Fulton
    -0.61
    Marie
    -0.61
     Ryder
    -0.60
    POSITIVE LOGITS
    chwitz
    1.01
     purposes
    0.97
    folios
    0.86
    restrial
    0.85
    aily
    0.85
    enei
    0.83
    ful
    0.81
     guiActiveUn
    0.80
    nown
    0.80
    oldown
    0.79
    Activations Density 0.007%

    No Known Activations