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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. 4884
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    Explanations

    terms related to sports leagues

    oai_token-act-pair · gpt-3.5-turbo

    references to specific brands or products, particularly those that include the term "Prem" or variations thereof

    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
    glers
    -1.02
     MacArthur
    -0.76
    ger
    -0.71
    gers
    -0.68
     Hedge
    -0.68
     Tid
    -0.65
    books
    -0.65
    gest
    -0.65
    HCR
    -0.65
     Grail
    -0.64
    POSITIVE LOGITS
    iership
    1.17
    ises
    1.15
    ortal
    1.05
    inent
    1.00
    ature
    1.00
    inence
    0.99
    otor
    0.99
    antle
    0.99
    iere
    0.96
    ository
    0.95
    Activations Density 0.054%

    No Known Activations