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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. 7-RES-JB
    11. 3858
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    Explanations

    phrases related to research institutions and policy centers

    oai_token-act-pair · gpt-3.5-turbo

    references to various policy centers and institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sergeant
    -0.70
    milo
    -0.69
     salesman
    -0.69
     tram
    -0.66
     liner
    -0.64
     manufacturer
    -0.63
    wheel
    -0.63
     bolt
    -0.62
    brainer
    -0.61
    mble
    -0.61
    POSITIVE LOGITS
     Reconstruction
    0.84
     Studies
    0.82
     Preservation
    0.81
     Protection
    0.76
     Computing
    0.74
     Intervention
    0.72
     Relations
    0.72
     Cooperation
    0.71
    Merit
    0.71
     Rights
    0.70
    Activations Density 0.119%

    No Known Activations