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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. 18219
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    Explanations

    mentions of people making their debut in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports debuts and player participation

    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
    Ocean
    -0.67
     dens
    -0.64
    Property
    -0.64
    cest
    -0.62
    riz
    -0.61
     Publishers
    -0.60
    resist
    -0.60
    jew
    -0.59
     SEO
    -0.58
     Cultural
    -0.58
    POSITIVE LOGITS
     opener
    0.89
     duty
    0.86
     vacated
    0.84
     fullback
    0.84
     injured
    0.83
     alongside
    0.80
     duties
    0.79
     sidelined
    0.79
    Coach
    0.78
     Bie
    0.75
    Activations Density 0.205%

    No Known Activations