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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. 24000
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    Explanations

    terms related to punishment or harsh treatment in a legal or disciplinary context

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal penalties

    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
    worth
    -0.82
    yip
    -0.79
    elf
    -0.77
    aeda
    -0.76
    ynthesis
    -0.73
    WAYS
    -0.70
    rians
    -0.69
    IFE
    -0.69
    through
    -0.68
     RIS
    -0.67
    POSITIVE LOGITS
    ized
    1.23
     penal
    1.16
    izes
    0.98
    ised
    0.97
    ization
    0.95
    izing
    0.93
     punished
    0.83
    izational
    0.82
     penalties
    0.81
     penalty
    0.80
    Activations Density 0.010%

    No Known Activations