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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. 1031
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    Explanations

    mentions of legal actions or consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to legal punishments or repercussions

    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
     Echoes
    -0.95
    aclysm
    -0.83
    NetMessage
    -0.80
     iceberg
    -0.78
     Views
    -0.76
    yip
    -0.76
     Fault
    -0.72
    tones
    -0.71
     Ideas
    -0.71
     scandals
    -0.69
    POSITIVE LOGITS
     probation
    1.48
     suspended
    1.18
     rehabilitation
    1.01
     supervised
    0.99
     suspension
    0.99
     confinement
    0.97
     forfeiture
    0.97
     parole
    0.97
     bail
    0.96
     medically
    0.94
    Activations Density 0.357%

    No Known Activations