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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. 11-RES-JB
    11. 1015
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    INDEX
    Explanations

    references to different levels and aspects of risk in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases associated with risk assessment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issance
    -0.80
    Dispatch
    -0.70
    vez
    -0.65
    poons
    -0.64
     Franç
    -0.63
    atters
    -0.62
     Seasons
    -0.62
     Bliss
    -0.61
    secut
    -0.61
     Nether
    -0.61
    POSITIVE LOGITS
     aversion
    1.11
    iest
    1.09
    iness
    1.00
    taking
    0.97
     factors
    0.92
     assessment
    0.91
     posed
    0.90
     mitigation
    0.90
    ier
    0.88
     incurred
    0.88
    Activations Density 0.060%

    No Known Activations