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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. 9094
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    Explanations

    mentions related to public transportation

    oai_token-act-pair · gpt-3.5-turbo

    references to public transportation systems

    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
    ongyang
    -0.72
     Ole
    -0.67
    ividual
    -0.67
    IELD
    -0.66
    ubi
    -0.64
    ongs
    -0.63
    Alien
    -0.62
    maxwell
    -0.61
    -+-+-+-+
    -0.61
    oln
    -0.61
    POSITIVE LOGITS
     transit
    1.00
     Transit
    0.85
     Corridor
    0.84
     hubs
    0.84
    ory
    0.83
    roads
    0.78
    way
    0.75
     depot
    0.74
     Facilities
    0.74
    ible
    0.73
    Activations Density 0.008%

    No Known Activations