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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. 9-RES-JB
    11. 7456
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    Explanations

    things related to threats and danger

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of threats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ricks
    -0.85
    urses
    -0.81
    arist
    -0.76
     Band
    -0.70
    gian
    -0.67
    iband
    -0.67
    tein
    -0.67
    cise
    -0.66
    mys
    -0.65
    baum
    -0.65
    POSITIVE LOGITS
     posed
    1.23
     threat
    0.89
     threats
    0.81
     emanating
    0.80
    crow
    0.78
     glare
    0.74
    threat
    0.74
     deterrent
    0.72
    xual
    0.71
    lessly
    0.70
    Activations Density 0.057%

    No Known Activations