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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. 3-RES-JB
    11. 5378
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    Explanations

    words related to transportation lines

    oai_token-act-pair · gpt-3.5-turbo

    references to transit lines or transportation systems

    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
    ricular
    -0.90
     mathemat
    -0.82
    osponsors
    -0.80
    KNOWN
    -0.77
    undai
    -0.76
    rha
    -0.75
    ¥ŀ
    -0.74
    CLASSIFIED
    -0.74
    erald
    -0.74
    è¦ļéĨĴ
    -0.73
    POSITIVE LOGITS
    backer
    1.31
    ages
    0.94
     Line
    0.90
     Lines
    0.83
    breaks
    0.79
    roads
    0.77
    lines
    0.75
     Bris
    0.73
    line
    0.73
    ups
    0.73
    Activations Density 0.029%

    No Known Activations