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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. 7-RES-JB
    11. 18698
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    Explanations

    organizations or entities and their affiliations

    oai_token-act-pair · gpt-3.5-turbo

    the word "which" as it relates to descriptions or clauses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Passing
    -0.61
    mma
    -0.61
     indefinite
    -0.61
    Und
    -0.60
    Pot
    -0.59
    Behind
    -0.58
    fleet
    -0.57
    Blu
    -0.57
    ATH
    -0.56
    case
    -0.56
    POSITIVE LOGITS
     oversees
    1.09
     specializes
    1.00
     owns
    0.99
     operates
    0.93
     regulates
    0.92
     oversaw
    0.92
     oversee
    0.92
     specialize
    0.88
     publishes
    0.87
     invests
    0.87
    Activations Density 0.143%

    No Known Activations