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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. 1-RES-JB
    11. 5461
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    Explanations

    words related to natural disasters, specifically storms

    oai_token-act-pair · gpt-3.5-turbo

    references to storms or severe weather events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atem
    -0.96
    olars
    -0.89
    guyen
    -0.87
    pires
    -0.86
    usable
    -0.85
    idency
    -0.83
    merce
    -0.81
    buquerque
    -0.80
    ¿½
    -0.80
    cius
    -0.79
    POSITIVE LOGITS
     storm
    1.24
    tro
    1.22
    storm
    1.17
     storms
    1.10
    storms
    1.05
     Storm
    0.95
     troopers
    0.85
     surge
    0.85
     trooper
    0.83
    lake
    0.83
    Activations Density 0.008%

    No Known Activations