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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. 10-RES-JB
    11. 5266
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    Explanations

    expressways and directions (e.g., "northbound", "eastbound")

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with traffic conditions and road closures

    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
    cffff
    -0.71
    nam
    -0.69
     organising
    -0.69
     theoret
    -0.67
    rov
    -0.66
    committee
    -0.64
    ãĤ©
    -0.64
    nikov
    -0.64
    olith
    -0.64
    bang
    -0.63
    POSITIVE LOGITS
     lanes
    1.40
     Interstate
    1.34
     traffic
    1.17
     Highway
    1.12
     lane
    1.11
     freeway
    1.04
     Traffic
    1.02
     Route
    0.99
     Amtrak
    0.98
     roadway
    0.98
    Activations Density 0.087%

    No Known Activations