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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. 6-RES-JB
    11. 17021
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    Explanations

    references to alcoholic beverages

    oai_token-act-pair · gpt-3.5-turbo

    references to bottles of beverages, particularly alcohol

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.93
    doms
    -0.80
    urities
    -0.74
    amaru
    -0.67
    IFA
    -0.67
    ominated
    -0.67
    ancial
    -0.66
    ourning
    -0.66
    psons
    -0.66
    adesh
    -0.66
    POSITIVE LOGITS
     bottle
    1.17
     bottles
    1.12
     Bottle
    1.02
     opener
    0.89
    Bott
    0.88
     vodka
    0.86
     Bott
    0.85
     labelled
    0.83
     liquor
    0.80
     whiskey
    0.80
    Activations Density 0.019%

    No Known Activations