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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. 1-RES-JB
    11. 11240
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    Explanations

    phrases related to high stakes or high-risk situations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of high stakes or risks in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thumbnails
    -0.74
    riot
    -0.71
    eric
    -0.68
    ICA
    -0.67
    ergy
    -0.67
    urally
    -0.66
    NSA
    -0.65
    miss
    -0.65
    eph
    -0.65
    forms
    -0.63
    POSITIVE LOGITS
     stakes
    1.49
    holder
    0.91
     stake
    0.86
    pole
    0.85
     ante
    0.84
     srfAttach
    0.82
     veter
    0.77
    stakes
    0.69
     trolling
    0.67
     upside
    0.67
    Activations Density 0.006%

    No Known Activations