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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. 3-RES-JB
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    Explanations

    proper nouns related to national parks

    oai_token-act-pair · gpt-3.5-turbo

    references to national parks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otten
    -0.75
    iating
    -0.73
    jad
    -0.73
    forward
    -0.71
     pus
    -0.71
    iated
    -0.71
    ahon
    -0.67
    onen
    -0.66
    furt
    -0.66
     autom
    -0.66
    POSITIVE LOGITS
    conservancy
    1.25
     Conservation
    1.05
     habitat
    1.00
     wildlife
    0.97
     Wildlife
    0.96
     conservation
    0.88
     Refuge
    0.86
     Geographic
    0.85
     Fisheries
    0.83
     flora
    0.80
    Activations Density 0.126%

    No Known Activations