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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. 6-RES-JB
    11. 2790
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    Explanations

    mentions of specific awards or trophies, predominantly "Vegetarian", "Vezina", and "Veteran"

    oai_token-act-pair · gpt-3.5-turbo

    references to veterans

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     trave
    -0.67
    ELF
    -0.63
     Yosemite
    -0.62
     todd
    -0.62
     Clover
    -0.61
     showc
    -0.60
    å°Ĩ
    -0.59
     proclamation
    -0.59
    terness
    -0.58
    ufact
    -0.58
    POSITIVE LOGITS
    haus
    0.78
    oso
    0.73
    olated
    0.67
    olation
    0.67
    inis
    0.66
    vir
    0.65
    abo
    0.64
    ima
    0.64
    antes
    0.64
    feeding
    0.64
    Activations Density 0.119%

    No Known Activations