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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. 16977
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    Explanations

    individuals in positions of authority or leadership

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "in" referencing various contexts or subjects

    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
    killed
    -0.66
     snipers
    -0.63
    llor
    -0.62
     entrants
    -0.61
     incumb
    -0.61
     selves
    -0.61
     cues
    -0.59
    umbnails
    -0.57
    Completed
    -0.57
     liking
    -0.57
    POSITIVE LOGITS
     lieu
    1.03
    efficiency
    0.99
    animate
    0.96
    organic
    0.94
    patient
    0.94
     vitro
    0.92
     relation
    0.92
     accordance
    0.89
    ducers
    0.88
     disguise
    0.85
    Activations Density 0.186%

    No Known Activations