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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. 4-RES-JB
    11. 4667
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    Explanations

    references to research studies with the focus on the year mentioned in the study

    oai_token-act-pair · gpt-3.5-turbo

    references to studies and research findings

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

    No Comments

    Negative Logits
     actionGroup
    -0.60
     Leilan
    -0.58
    events
    -0.58
     Horus
    -0.56
    artifacts
    -0.56
     Winged
    -0.55
    otto
    -0.54
     mortals
    -0.54
    animate
    -0.53
     deities
    -0.52
    POSITIVE LOGITS
     researcher
    0.75
     report
    0.75
     reviewer
    0.74
     study
    0.73
     analyst
    0.70
     declass
    0.68
     psychiatrist
    0.66
     published
    0.66
     commissioned
    0.65
     scientist
    0.64
    Activations Density 0.222%

    No Known Activations