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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
    11. 13022
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    Explanations

    names of rivers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various rivers

    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
     certs
    -0.79
    lessly
    -0.72
     microw
    -0.71
     attach
    -0.67
     experien
    -0.65
     att
    -0.64
    attach
    -0.64
     stickers
    -0.64
    defense
    -0.64
     cand
    -0.63
    POSITIVE LOGITS
     River
    3.85
    River
    2.61
     river
    2.25
     rivers
    1.88
     Rivers
    1.86
     Creek
    1.67
     Valley
    1.65
    river
    1.53
     Lake
    1.52
     Canal
    1.42
    Activations Density 0.013%

    No Known Activations