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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. 9-RES-JB
    11. 3633
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    Explanations

    words related to automation and technology taking over human tasks and jobs

    oai_token-act-pair · gpt-3.5-turbo

    discussions about the impact of automation and robotics on the workforce

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FLAG
    -0.76
    ospons
    -0.73
     Tanner
    -0.71
     Malk
    -0.70
     Marino
    -0.70
    iatus
    -0.69
    cohol
    -0.69
     Relief
    -0.68
    wine
    -0.67
    APTER
    -0.66
    POSITIVE LOGITS
     IoT
    1.24
     robotics
    1.24
     automation
    1.24
     automate
    1.18
     smarter
    1.15
     robots
    1.13
     computational
    1.11
     computing
    1.10
     algorithms
    1.09
     robotic
    1.09
    Activations Density 0.642%

    No Known Activations