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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. 7-RES-JB
    11. 18049
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    Explanations

    mentions or indications of fines and penalties

    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial penalties and fines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omorphic
    -0.90
    omorph
    -0.87
    76561
    -0.82
    ocaly
    -0.81
    groups
    -0.79
    population
    -0.73
    ovie
    -0.71
    NetMessage
    -0.70
    ready
    -0.70
    utherland
    -0.70
    POSITIVE LOGITS
     levied
    1.19
    alties
    0.92
     imposed
    0.88
     incurred
    0.87
     evasion
    0.82
     fines
    0.81
     fined
    0.78
     owed
    0.76
     totaling
    0.76
     issued
    0.72
    Activations Density 0.039%

    No Known Activations