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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. 11-RES-JB
    11. 14442
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    Explanations

    words related to traffic incidents, specifically mentioning directions and locations

    oai_token-act-pair · gpt-3.5-turbo

    traffic-related events and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vill
    -0.73
    osponsors
    -0.71
    nikov
    -0.68
     organising
    -0.68
    ãĤ©
    -0.67
    abba
    -0.67
     bedrooms
    -0.66
    isodes
    -0.65
     Rooms
    -0.65
     squat
    -0.64
    POSITIVE LOGITS
     Interstate
    1.58
     Highway
    1.44
     highway
    1.40
     freeway
    1.37
     interstate
    1.36
     highways
    1.30
     Route
    1.22
     lanes
    1.19
     roadway
    1.17
     traffic
    1.07
    Activations Density 0.225%

    No Known Activations