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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. 22577
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    Explanations

    references to public transportation systems

    oai_token-act-pair · gpt-3.5-turbo

    references to specific transit lines or routes

    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
    */(
    -0.90
    è¦ļéĨĴ
    -0.86
    KNOWN
    -0.83
    undai
    -0.79
    ricular
    -0.79
    etsy
    -0.77
    ILLE
    -0.76
    aimon
    -0.74
    lisher
    -0.74
    ĻĤ
    -0.72
    POSITIVE LOGITS
    backer
    1.33
     Line
    1.17
     Lines
    1.14
    Line
    0.80
    wagon
    0.76
    lines
    0.76
    breaks
    0.72
    line
    0.72
     Stevenson
    0.71
    utenant
    0.70
    Activations Density 0.011%

    No Known Activations