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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. 1-RES-JB
    6. 8024
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    Explanations

    words related to ribbons

    oai_token-act-pair · gpt-3.5-turbo

    references to ribbons or similar decorative elements

    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
    alter
    -0.74
     Heller
    -0.71
    Il
    -0.69
    opathic
    -0.68
     aber
    -0.68
    PLIED
    -0.67
    OPER
    -0.65
     Wonders
    -0.65
    sych
    -0.64
    efer
    -0.64
    POSITIVE LOGITS
     ribbon
    1.62
     Ribbon
    1.13
    fruit
    0.86
    NetMessage
    0.84
    issance
    0.83
    cloth
    0.81
    wcs
    0.80
    drop
    0.78
     clasp
    0.78
     steak
    0.76
    Activations Density 0.006%

    No Known Activations