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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. 4-RES-JB
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    Explanations

    phrases related to transportation

    oai_token-act-pair · gpt-3.5-turbo

    references to transportation systems and related issues

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

    No Comments

    Negative Logits
    ividual
    -0.83
    arial
    -0.82
    monds
    -0.81
    kai
    -0.80
    iak
    -0.74
    ures
    -0.73
    ches
    -0.72
    sonian
    -0.70
    ifiers
    -0.70
    gs
    -0.68
    POSITIVE LOGITS
     transportation
    0.97
     hubs
    0.92
     infrastructure
    0.88
     Facilities
    0.84
     corridors
    0.80
     Infrastructure
    0.80
     transport
    0.79
     systems
    0.78
     Transportation
    0.76
    âĹ¼
    0.76
    Activations Density 0.012%

    No Known Activations