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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    mentions of the word "sugar"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "sugar"

    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
    acular
    -0.82
    atche
    -0.82
    agall
    -0.80
    naire
    -0.74
    UAL
    -0.73
     Newsp
    -0.71
    igious
    -0.67
    AMS
    -0.66
     MacArthur
    -0.66
    oral
    -0.66
    POSITIVE LOGITS
     syrup
    1.17
     sugar
    1.12
     beet
    1.11
     cane
    1.07
     sweetness
    0.88
     fructose
    0.88
    ugar
    0.85
    ptive
    0.85
     sugars
    0.84
     cooker
    0.81
    Activations Density 0.008%

    No Known Activations