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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. 13549
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    Explanations

    people in different roles within a society and specific financial or social situations they may be in

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups of people in various contexts

    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
    ernels
    -0.80
    ories
    -0.72
    irens
    -0.71
     Horses
    -0.69
    escription
    -0.67
    metadata
    -0.67
    bows
    -0.67
     pickups
    -0.67
    ources
    -0.65
    itars
    -0.65
    POSITIVE LOGITS
     chooses
    1.14
     learns
    1.09
     knows
    1.02
     spends
    1.01
     understands
    0.94
     who
    0.94
     decides
    0.92
     earns
    0.91
     realizes
    0.91
     receives
    0.90
    Activations Density 0.189%

    No Known Activations