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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. 22184
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    Explanations

    instances where risky actions or decisions are being made

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "risk" and its variations, indicating themes of danger or high-stakes situations

    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
    olesc
    -0.81
    ele
    -0.78
    ois
    -0.78
    ester
    -0.77
    edy
    -0.75
    ian
    -0.74
    ept
    -0.74
    ynchron
    -0.74
    encies
    -0.73
    ently
    -0.73
    POSITIVE LOGITS
     risking
    0.90
     Helpful
    0.82
     istg
    0.76
    obbies
    0.75
     Kenobi
    0.72
     pleas
    0.71
     endeav
    0.67
    REL
    0.67
     impart
    0.66
     recount
    0.65
    Activations Density 0.027%

    No Known Activations