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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. 3-RES-JB
    11. 4270
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    Explanations

    phrases related to various types of risks

    oai_token-act-pair · gpt-3.5-turbo

    terms related to risk assessment and management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ergy
    -0.72
     Remastered
    -0.69
    gdala
    -0.68
    CLE
    -0.67
    elf
    -0.67
     Seasons
    -0.66
    poons
    -0.66
    ī
    -0.65
    atters
    -0.64
    Writer
    -0.63
    POSITIVE LOGITS
     gamble
    0.87
    taking
    0.86
     risk
    0.81
    crow
    0.80
     risks
    0.80
     proble
    0.76
    azard
    0.75
    iest
    0.74
    udic
    0.74
     aversion
    0.73
    Activations Density 0.022%

    No Known Activations