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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. 1-RES-JB
    11. 15976
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    Explanations

    phrases related to portable devices

    oai_token-act-pair · gpt-3.5-turbo

    references to portable devices or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hov
    -0.82
    neg
    -0.80
    âķIJâķIJ
    -0.78
    tell
    -0.76
    warts
    -0.74
    bro
    -0.73
    egg
    -0.73
    д
    -0.72
    abad
    -0.71
    levels
    -0.71
    POSITIVE LOGITS
     portable
    1.32
     Portable
    1.07
     handheld
    1.04
     toilets
    0.92
    atile
    0.91
    atable
    0.86
    ibles
    0.77
    ensable
    0.77
     wearable
    0.77
    isable
    0.75
    Activations Density 0.007%

    No Known Activations