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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. 2575
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    Explanations

    German words related to an experience or emotion

    oai_token-act-pair · gpt-3.5-turbo

    words associated with analysis or review, particularly in a critical context

    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
     Caldwell
    -0.73
     Cherokee
    -0.65
     backdrop
    -0.63
     streetcar
    -0.62
     Carbuncle
    -0.61
     Scarborough
    -0.59
    eal
    -0.59
     Raptors
    -0.59
     FSA
    -0.59
     curry
    -0.58
    POSITIVE LOGITS
    sten
    1.17
    beit
    1.10
    icht
    1.09
    izont
    1.04
    lag
    1.01
    fol
    0.98
    heit
    0.96
    lass
    0.95
    ü
    0.93
    mitt
    0.90
    Activations Density 0.078%

    No Known Activations