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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. 2-RES-JB
    11. 4451
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    Explanations

    references to financial penalties or consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to fines and penalties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oir
    -0.71
    groups
    -0.70
    ipel
    -0.69
    Ops
    -0.69
    avez
    -0.67
    population
    -0.66
    omorph
    -0.65
    ITNESS
    -0.65
    owers
    -0.64
    abad
    -0.63
    POSITIVE LOGITS
     fines
    1.00
     levied
    0.88
     confir
    0.84
     fined
    0.83
     viol
    0.81
    alties
    0.79
     violations
    0.72
    ensing
    0.71
     redes
    0.70
     Bunny
    0.70
    Activations Density 0.008%

    No Known Activations