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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. 4-RES-JB
    11. 5105
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    Explanations

    years or dates

    oai_token-act-pair · gpt-3.5-turbo

    references to significant years or historical dates

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

    No Comments

    Negative Logits
    Topic
    -0.65
     Sym
    -0.62
    Maker
    -0.61
    Topics
    -0.61
     Dil
    -0.58
    lication
    -0.57
     Jugg
    -0.56
     Surface
    -0.56
     Breath
    -0.55
     thirsty
    -0.55
    POSITIVE LOGITS
    uberty
    0.77
    azo
    0.75
    uly
    0.75
    iatus
    0.73
    irtual
    0.72
    ties
    0.70
    vez
    0.68
    izons
    0.66
    ratch
    0.65
    rapnel
    0.64
    Activations Density 0.093%

    No Known Activations