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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
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    Explanations

    instances of the word "smart"

    oai_token-act-pair · gpt-3.5-turbo

    references to intelligence or being smart

    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
     Divinity
    -0.78
    ĸļ
    -0.75
    ulhu
    -0.73
     Gazette
    -0.72
    ACA
    -0.71
    Reloaded
    -0.71
     Syndrome
    -0.67
     Dover
    -0.67
    ICA
    -0.66
    Lago
    -0.66
    POSITIVE LOGITS
    ness
    0.89
    guy
    0.86
    ling
    0.84
    ctl
    0.84
    matic
    0.82
    lings
    0.82
     smart
    0.81
    ventus
    0.77
    iors
    0.77
     pointers
    0.76
    Activations Density 0.013%

    No Known Activations