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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. 10-RES-JB
    11. 5133
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    Explanations

    references to debris and rubble

    oai_token-act-pair · gpt-3.5-turbo

    references to debris and rubble in the context of disasters or accidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VPN
    -0.78
    PDATE
    -0.73
    ocard
    -0.72
    agonist
    -0.71
    osexual
    -0.71
     Smile
    -0.71
     Promotion
    -0.69
    Revolution
    -0.69
    exclusive
    -0.69
     Violence
    -0.66
    POSITIVE LOGITS
     debris
    1.50
     fragments
    1.34
     scattered
    1.23
     protr
    1.21
     excav
    1.20
     deposited
    1.18
     piles
    1.18
     litter
    1.18
     piled
    1.17
     stre
    1.16
    Activations Density 0.211%

    No Known Activations