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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. 1609
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    Explanations

    words related to damage or harm inflicted by various factors

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to risk or harm assessment

    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
    soDeliveryDate
    -0.75
    nik
    -0.65
     acad
    -0.64
     nails
    -0.64
     Sonia
    -0.62
     mosqu
    -0.62
    udeau
    -0.62
     Bed
    -0.61
    uga
    -0.61
    Newsletter
    -0.60
    POSITIVE LOGITS
     outweigh
    0.86
    effic
    0.80
    amount
    0.76
     incurred
    0.76
    terness
    0.75
     impair
    0.74
     outwe
    0.73
     mitigation
    0.72
     Compensation
    0.71
     diminished
    0.71
    Activations Density 0.633%

    No Known Activations