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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. 7-RES-JB
    11. 19427
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    Explanations

    phrases related to potential risks or dangers

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating threats or dangers to individuals or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leys
    -0.79
    soDeliveryDate
    -0.76
    hent
    -0.69
    ror
    -0.66
    hall
    -0.65
    need
    -0.64
    leground
    -0.64
    aram
    -0.63
    erred
    -0.63
     vetoed
    -0.62
    POSITIVE LOGITS
     humankind
    0.90
     mankind
    0.82
     injure
    0.77
    onica
    0.76
    edia
    0.75
     humans
    0.74
    amen
    0.73
     Flavoring
    0.73
     achieve
    0.72
    othy
    0.71
    Activations Density 0.118%

    No Known Activations