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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8652
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    INDEX
    Explanations

    locations or objects related to trains

    oai_token-act-pair · gpt-3.5-turbo

    references to train services and transportation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osi
    -0.71
     Sphere
    -0.66
     Reach
    -0.66
     Tablet
    -0.66
    erenn
    -0.65
    monds
    -0.64
     Prairie
    -0.63
    cised
    -0.61
    ÏĤ
    -0.61
    pring
    -0.60
    POSITIVE LOGITS
    wreck
    1.29
     conductor
    1.06
     derail
    1.05
    loads
    1.03
     wreck
    1.02
    ees
    1.01
     ride
    1.00
     passenger
    0.99
    riages
    0.98
    roads
    0.96
    Activations Density 0.031%

    No Known Activations