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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 15858
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    INDEX
    Explanations

    instances where surveys or polls were conducted

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "conducted" in relation to surveys and polls

    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
    ulkan
    -0.68
    mere
    -0.64
    ãģĦ
    -0.60
     Leilan
    -0.57
    ede
    -0.56
    ADD
    -0.55
    Redd
    -0.54
    hen
    -0.53
    ãģı
    -0.52
    RET
    -0.52
    POSITIVE LOGITS
     jointly
    1.06
     by
    0.97
     anonymously
    0.92
     undercover
    0.91
     conducted
    0.83
     during
    0.82
     abroad
    0.81
     pursuant
    0.79
     annually
    0.78
     exclusively
    0.78
    Activations Density 0.072%

    No Known Activations