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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. 23632
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    Explanations

    keywords related to financial penalties or consequences

    oai_token-act-pair · gpt-3.5-turbo

    instances of financial penalties or fines

    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
    omorphic
    -0.84
    omorph
    -0.80
    ãĤ¤ãĥĪ
    -0.76
    ready
    -0.70
    population
    -0.70
    ocaly
    -0.68
    apore
    -0.67
    NetMessage
    -0.66
    utherland
    -0.63
     anx
    -0.63
    POSITIVE LOGITS
     levied
    1.32
     imposed
    0.98
    alties
    0.96
     incurred
    0.91
     fines
    0.89
     penalties
    0.87
     totaling
    0.87
     owed
    0.85
     stemming
    0.83
     ($
    0.83
    Activations Density 0.060%

    No Known Activations