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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. 11-RES-JB
    11. 6009
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    Explanations

    terms related to railway infrastructure or operations

    oai_token-act-pair · gpt-3.5-turbo

    references to rail systems and infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Parenthood
    -0.73
    itar
    -0.72
     Boyle
    -0.68
     Vander
    -0.68
     Ambrose
    -0.67
    osi
    -0.67
     Holder
    -0.67
     Summers
    -0.66
    iaries
    -0.65
     Homo
    -0.65
    POSITIVE LOGITS
    roads
    1.61
    road
    1.17
    ways
    1.11
    cars
    1.03
    liner
    0.95
    fan
    0.93
    yard
    0.91
    car
    0.90
    ings
    0.89
     freight
    0.88
    Activations Density 0.031%

    No Known Activations