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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. 11-RES-JB
    11. 14022
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    Explanations

    words related to destruction and chaos in a disaster context

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of destruction and chaos resulting from violent events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     scheduling
    -0.79
    ipolar
    -0.73
     quota
    -0.73
     coupon
    -0.71
    coe
    -0.71
    Ask
    -0.70
    Introdu
    -0.69
     bisexual
    -0.67
    otrop
    -0.66
     Wilde
    -0.66
    POSITIVE LOGITS
     wreckage
    1.65
     rubble
    1.61
     debris
    1.53
     charred
    1.40
     devastation
    1.28
     survivors
    1.24
     ruins
    1.24
     shattered
    1.22
     collapsed
    1.22
     flattened
    1.21
    Activations Density 0.389%

    No Known Activations