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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. 0-RES-JB
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    Explanations

    mentions of lotteries and games of chance

    oai_token-act-pair · gpt-3.5-turbo

    references to lotteries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     src
    -0.62
     immediate
    -0.61
     GH
    -0.60
     timely
    -0.59
     resume
    -0.58
     issue
    -0.58
     prescribed
    -0.58
     URL
    -0.57
     constant
    -0.56
     takedown
    -0.56
    POSITIVE LOGITS
    tery
    5.00
    ter
    1.64
    ters
    1.54
    tera
    1.29
    ting
    1.28
    terness
    1.24
    thood
    1.21
    thouse
    1.14
    ty
    1.08
    thritis
    1.06
    Activations Density 0.014%

    No Known Activations