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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. 6-RES-JB
    11. 813
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    Explanations

    phrases related to ownership and possession

    oai_token-act-pair · gpt-3.5-turbo

    references to ownership and associated entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    cular
    -0.70
    esar
    -0.70
    ESA
    -0.69
    ulty
    -0.68
     noise
    -0.66
    urai
    -0.66
    atibility
    -0.66
     inquiries
    -0.66
    icter
    -0.65
    henko
    -0.64
    POSITIVE LOGITS
     shares
    0.85
    artifacts
    0.82
     slaves
    0.81
     secrets
    0.81
     property
    0.80
     estate
    0.78
     rights
    0.76
    td
    0.76
    76561
    0.75
     assets
    0.75
    Activations Density 0.139%

    No Known Activations