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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the name "Liz"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific individual named Liz

    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
     Predators
    -0.73
    iscopal
    -0.71
     congreg
    -0.69
    secut
    -0.69
     missionary
    -0.65
     flock
    -0.65
     reserved
    -0.65
     Treasurer
    -0.65
     Giving
    -0.63
     canopy
    -0.63
    POSITIVE LOGITS
    arro
    1.21
    hou
    1.13
    arella
    0.99
    ors
    0.97
    enegger
    0.97
    azo
    0.96
    umi
    0.94
    ombie
    0.94
    alez
    0.92
    ymes
    0.91
    Activations Density 0.014%

    No Known Activations