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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. 8-RES-JB
    11. 24563
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    Explanations

    natural disasters and related aftermath descriptions

    oai_token-act-pair · gpt-3.5-turbo

    references to natural disasters and their impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TPP
    -0.75
    wcsstore
    -0.70
    Adv
    -0.70
    IQ
    -0.69
    witch
    -0.69
    FN
    -0.68
    ãĤ±
    -0.68
    ethical
    -0.68
    ealous
    -0.68
     persuasion
    -0.67
    POSITIVE LOGITS
     havoc
    1.03
     northeastern
    1.01
     southeastern
    0.96
     northeast
    0.92
     Northeast
    0.92
     southwestern
    0.90
     farmland
    0.88
     rural
    0.84
     southeast
    0.84
     northern
    0.83
    Activations Density 0.288%

    No Known Activations