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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. 11461
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    Explanations

    terms related to technological integration

    oai_token-act-pair · gpt-3.5-turbo

    terms related to integration 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
    rpm
    -0.81
    efer
    -0.77
    \\\\\\\\
    -0.77
    thur
    -0.75
    ffff
    -0.75
    Ö¼
    -0.73
    ym
    -0.71
    SPONSORED
    -0.70
    vous
    -0.69
    =-=-=-=-
    -0.67
    POSITIVE LOGITS
     integration
    1.07
     integrating
    0.90
     integrates
    0.86
     integrated
    0.83
     integrate
    0.82
     Integration
    0.82
     circuits
    0.80
     integ
    0.80
     seamlessly
    0.80
    iliary
    0.77
    Activations Density 0.012%

    No Known Activations