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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. 9-RES-JB
    11. 10083
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    Explanations

    phrases related to ensuring safety and support in various situations

    oai_token-act-pair · gpt-3.5-turbo

    associations involving groups of people and their roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GMT
    -0.70
    omial
    -0.70
    ugen
    -0.69
     Khe
    -0.68
    inian
    -0.68
     largeDownload
    -0.66
    lav
    -0.65
    uggest
    -0.63
    jin
    -0.63
    philis
    -0.62
    POSITIVE LOGITS
     spectators
    1.34
     bystanders
    1.27
     stakeholders
    1.25
     coworkers
    1.20
     caregivers
    1.20
     creditors
    1.19
     neighbors
    1.19
     passers
    1.19
     listeners
    1.17
     visitors
    1.17
    Activations Density 0.260%

    No Known Activations