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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. 10-RES-JB
    11. 7270
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    INDEX
    Explanations

    phrases related to taking action or attempting something

    oai_token-act-pair · gpt-3.5-turbo

    phrases encouraging action or participation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pools
    -0.83
     timelines
    -0.78
     leaflets
    -0.75
     curves
    -0.73
     vulnerabilities
    -0.72
     structures
    -0.72
     contracts
    -0.70
     binaries
    -0.69
     documents
    -0.69
     channels
    -0.68
    POSITIVE LOGITS
    athon
    0.84
     apiece
    0.83
    joy
    0.80
     glance
    0.79
    pour
    0.77
    ozy
    0.75
    ipop
    0.75
    robe
    0.75
    coat
    0.74
    job
    0.73
    Activations Density 0.265%

    No Known Activations