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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. 6-RES-JB
    11. 12766
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    Explanations

    terms related to railway operations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of rail-related terms or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Homo
    -0.78
     Ambrose
    -0.75
     Kinnikuman
    -0.74
     Libre
    -0.73
    66666666
    -0.72
    âĶĢâĶĢ
    -0.69
     Parenthood
    -0.68
     Naomi
    -0.67
    Gene
    -0.67
     Bee
    -0.67
    POSITIVE LOGITS
    roads
    1.71
    ways
    1.07
    road
    1.04
    craft
    1.02
    cars
    1.00
    ulic
    0.89
    planes
    0.84
    guns
    0.84
     locom
    0.84
    plane
    0.83
    Activations Density 0.011%

    No Known Activations