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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8250
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    Explanations

    terms related to physical locations or directions

    oai_token-act-pair · gpt-3.5-turbo

    references to locations or routes along specific pathways or borders

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.96
    geant
    -0.72
    ãĥīãĥ©
    -0.69
    videos
    -0.68
    vation
    -0.66
    ateurs
    -0.64
     psychologists
    -0.64
    avorite
    -0.63
    PLIC
    -0.62
    OUP
    -0.61
    POSITIVE LOGITS
     periphery
    1.15
     sidelines
    0.95
     path
    0.93
     corridors
    0.87
     route
    0.87
     seams
    0.86
     dotted
    0.84
     axis
    0.83
     circumference
    0.81
     corridor
    0.79
    Activations Density 0.071%

    No Known Activations