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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. 12404
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    Explanations

    statements related to the success or requirements of certain entities, such as universities, companies, or individuals

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to essential requirements for effective functioning

    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
    ãĥĩ
    -0.85
    Menu
    -0.70
    uyomi
    -0.67
    rift
    -0.67
    dump
    -0.66
    morning
    -0.64
    laugh
    -0.63
    estern
    -0.62
     miscarriage
    -0.61
    loop
    -0.61
    POSITIVE LOGITS
     permission
    0.87
    worthiness
    0.81
     authorization
    0.79
     consent
    0.78
     abide
    0.76
     convincing
    0.74
     verification
    0.74
     comply
    0.74
     careful
    0.73
     prior
    0.73
    Activations Density 0.811%

    No Known Activations