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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. 3-RES-JB
    11. 6370
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    Explanations

    proper names

    oai_token-act-pair · gpt-3.5-turbo

    the name "Philip" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    telling
    -0.75
    yrinth
    -0.74
    LOAD
    -0.72
    eer
    -0.71
    inventoryQuantity
    -0.71
    DERR
    -0.69
    bring
    -0.67
    ipeg
    -0.66
    imilation
    -0.66
    lace
    -0.65
    POSITIVE LOGITS
     Randolph
    0.88
    anthrop
    0.87
     Philip
    0.85
     Morris
    0.80
     Seymour
    0.70
    osate
    0.70
     Rivers
    0.69
    oshenko
    0.69
    avorite
    0.69
    opol
    0.68
    Activations Density 0.007%

    No Known Activations