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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. 6-RES-JB
    11. 18404
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    Explanations

    words related to financial risks

    oai_token-act-pair · gpt-3.5-turbo

    references to risk and its implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gdala
    -0.86
    atters
    -0.79
    CLE
    -0.71
    Dispatch
    -0.68
    ī
    -0.67
    inters
    -0.66
    ergy
    -0.66
    Writer
    -0.65
    poons
    -0.64
    chan
    -0.64
    POSITIVE LOGITS
    taking
    0.90
     aversion
    0.90
     mitigation
    0.81
    iest
    0.80
    lessly
    0.79
     advis
    0.78
    staking
    0.78
    lessness
    0.77
     risks
    0.77
    crow
    0.75
    Activations Density 0.031%

    No Known Activations