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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 14684
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    Explanations

    names, specifically the name "Grant"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Grant."

    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
    dayName
    -0.83
     abdom
    -0.72
    computer
    -0.67
    eteria
    -0.66
    cript
    -0.66
    spection
    -0.65
    ä¸ī
    -0.63
     behav
    -0.62
    cles
    -0.62
     disag
    -0.61
    POSITIVE LOGITS
    ees
    1.01
    ingham
    0.90
    ee
    0.88
     Morrison
    0.88
     Thornton
    0.87
    shire
    0.86
    anas
    0.86
    aire
    0.85
    lee
    0.84
    uin
    0.77
    Activations Density 0.018%

    No Known Activations