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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. 20842
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    Explanations

    words related to proper nouns, specifically names of people

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "smol" and variations of it

    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
     Refuge
    -0.68
     Exit
    -0.64
     Cortex
    -0.63
     Triangle
    -0.63
     reservation
    -0.61
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.61
     unfocusedRange
    -0.60
     dime
    -0.59
     tert
    -0.59
     Camer
    -0.59
    POSITIVE LOGITS
    glers
    0.94
    rill
    0.87
    wear
    0.83
    vity
    0.81
    iland
    0.81
    chery
    0.79
    etsk
    0.78
    lein
    0.75
    cer
    0.74
    ety
    0.74
    Activations Density 0.070%

    No Known Activations