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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. 4-RES-JB
    11. 6878
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    Explanations

    words related to measurements and physical attributes, specifically focusing on height

    oai_token-act-pair · gpt-3.5-turbo

    mentions of height

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utical
    -0.86
    tical
    -0.85
    plet
    -0.79
    zsche
    -0.76
    ournal
    -0.76
    BOOK
    -0.75
    vernment
    -0.75
    ãģ¦
    -0.73
    ctive
    -0.72
    pload
    -0.70
    POSITIVE LOGITS
     height
    1.00
     heights
    0.98
     stature
    0.86
     ceilings
    0.79
     altitude
    0.78
     tallest
    0.77
     indoors
    0.76
     elevation
    0.75
     cliffs
    0.74
    falls
    0.73
    Activations Density 0.010%

    No Known Activations