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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    references to the oil company "BP"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company BP

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesota
    -0.87
    ÑĮ
    -0.82
     Tradable
    -0.74
    letico
    -0.74
    ournal
    -0.72
    lihood
    -0.72
    theless
    -0.72
    liness
    -0.71
    ãĥ´
    -0.71
    ãĤ»
    -0.70
    POSITIVE LOGITS
    BP
    0.81
    oil
    0.80
    erity
    0.73
    OSS
    0.73
    olitics
    0.70
    PP
    0.70
     compressor
    0.70
    reath
    0.69
    olicy
    0.69
     welding
    0.67
    Activations Density 0.006%

    No Known Activations