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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. 7-RES-JB
    11. 7803
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    Explanations

    terms related to rail transportation

    oai_token-act-pair · gpt-3.5-turbo

    references to rail-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Homo
    -0.73
     Parenthood
    -0.73
     Libre
    -0.71
    66666666
    -0.71
     Ambrose
    -0.68
     Qiao
    -0.66
    osi
    -0.66
    uthor
    -0.66
    hift
    -0.64
     Kinnikuman
    -0.63
    POSITIVE LOGITS
    roads
    1.72
    road
    1.11
    ways
    1.09
    craft
    1.05
    cars
    0.99
    ings
    0.88
    plane
    0.88
    planes
    0.87
    ulic
    0.87
     Transit
    0.86
    Activations Density 0.019%

    No Known Activations