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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. 18477
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    Explanations

    mentions of rail transportation

    oai_token-act-pair · gpt-3.5-turbo

    references to rail transport

    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
    arios
    -0.76
     Kinnikuman
    -0.75
     Homo
    -0.75
     Duchess
    -0.74
     Ambrose
    -0.74
    é¾įå
    -0.74
    66666666
    -0.72
     Qiao
    -0.70
     Libre
    -0.69
    Gene
    -0.69
    POSITIVE LOGITS
    roads
    1.59
    ways
    0.98
    craft
    0.97
    cars
    0.89
    ulic
    0.88
    tracks
    0.88
     locom
    0.86
    road
    0.86
     rail
    0.85
    plane
    0.82
    Activations Density 0.007%

    No Known Activations