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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. 2-RES-JB
    11. 4340
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    Explanations

    mentions of the word "Metro"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Metro transit system

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Qiao
    -0.79
    IELD
    -0.78
    à¥
    -0.74
    \\\\\\\\
    -0.73
    owship
    -0.72
    omever
    -0.72
    ensed
    -0.72
    %%%%
    -0.72
    ^^^^
    -0.71
    emption
    -0.70
    POSITIVE LOGITS
    plex
    1.00
    jet
    0.90
     Manila
    0.89
     Scotia
    0.73
     Metro
    0.70
    econom
    0.70
    blocks
    0.69
     Transit
    0.69
    Train
    0.69
     blot
    0.69
    Activations Density 0.006%

    No Known Activations