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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. 6811
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    Explanations

    names of beverages and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific brands or types of beverages, particularly those related to beer

    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
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    No Comments

    Negative Logits
    ORGE
    -0.66
    ulators
    -0.65
    mate
    -0.63
     GOODMAN
    -0.62
    amide
    -0.62
    ainment
    -0.62
     Dear
    -0.60
    acion
    -0.60
    ORE
    -0.59
     Dispatch
    -0.59
    POSITIVE LOGITS
    ught
    1.16
    fters
    1.11
    enei
    1.00
    dra
    0.99
     dra
    0.99
    cffff
    0.95
    kk
    0.87
     Dra
    0.84
    plets
    0.82
    ugh
    0.81
    Activations Density 0.014%

    No Known Activations