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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. 0-RES-JB
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    Explanations

    references to natural occurrences of lightning

    oai_token-act-pair · gpt-3.5-turbo

    references to lightning and thunder

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ylum
    -0.74
    kamp
    -0.73
    eters
    -0.71
     Gross
    -0.70
    omm
    -0.68
    rition
    -0.67
    Age
    -0.66
    ype
    -0.66
     Aus
    -0.66
    Continue
    -0.65
    POSITIVE LOGITS
     lightning
    3.88
     Lightning
    2.35
     thunder
    2.09
     mete
    1.39
     blazing
    1.36
    Thunder
    1.32
     fireball
    1.21
     tornado
    1.18
     storms
    1.16
     flash
    1.14
    Activations Density 0.018%

    No Known Activations