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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
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    Explanations

    references to the term "Electric" in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of companies or brands with "Electric" in their name

    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
    76561
    -0.78
    ebin
    -0.71
    âĿ
    -0.68
    ort
    -0.67
     [+
    -0.66
    mire
    -0.66
    amia
    -0.65
     HIP
    -0.65
    reads
    -0.65
    itives
    -0.65
    POSITIVE LOGITS
     Electric
    1.03
    Electric
    0.97
     Electricity
    0.90
    oshenko
    0.79
    awei
    0.76
    electric
    0.75
    idad
    0.74
    ritch
    0.71
     utilities
    0.71
     Cooperative
    0.70
    Activations Density 0.006%

    No Known Activations