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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. 11-RES-JB
    11. 6325
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    Explanations

    numerical values, including percentages and amounts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to announcements and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mum
    -0.53
    glomer
    -0.53
     Tud
    -0.52
     Pwr
    -0.51
    edd
    -0.51
    ı
    -0.50
    orkshire
    -0.49
     Rao
    -0.49
    ģ
    -0.48
     splendid
    -0.48
    POSITIVE LOGITS
     upcoming
    0.99
     possibility
    0.83
     possible
    0.79
     hypothetical
    0.79
     potential
    0.77
     future
    0.75
     feasibility
    0.71
     scenario
    0.70
     forthcoming
    0.69
     impending
    0.68
    Activations Density 1.093%

    No Known Activations