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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. 6392
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    renheit
    -0.87
    ofi
    -0.82
    jri
    -0.82
    ammad
    -0.79
    rams
    -0.77
    ammed
    -0.76
    amiya
    -0.76
    tub
    -0.76
    sole
    -0.75
    wan
    -0.74
    POSITIVE LOGITS
     procedural
    1.01
    izational
    0.90
     safeguards
    0.89
     violations
    0.80
     filings
    0.79
     restraints
    0.77
     protections
    0.77
     guiActiveUn
    0.76
     executions
    0.76
     proceedings
    0.75
    Activations Density 0.015%

    No Known Activations