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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. 15954
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    Explanations

    words related to brightness

    oai_token-act-pair · gpt-3.5-turbo

    terms related to brightness and light intensity

    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
    BLE
    -0.82
    atown
    -0.75
    VP
    -0.74
    HAEL
    -0.73
    OL
    -0.69
    Journal
    -0.69
    itual
    -0.68
    RELATED
    -0.68
    OUP
    -0.66
    ingo
    -0.64
    POSITIVE LOGITS
    ewater
    1.17
    bright
    0.98
    comings
    0.97
    ness
    0.94
    Bright
    0.93
     Bright
    0.83
    ening
    0.80
     Horizons
    0.79
    enment
    0.75
    shire
    0.74
    Activations Density 0.008%

    No Known Activations