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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. 11403
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    Explanations

    references to underwater environments and activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to underwater environments

    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
    erion
    -0.90
    ========
    -0.86
    chen
    -0.80
    ci
    -0.80
    fred
    -0.79
    tta
    -0.79
    haar
    -0.79
    ellen
    -0.79
    jab
    -0.78
    lda
    -0.78
    POSITIVE LOGITS
     landsl
    0.95
     mammals
    0.91
     mammal
    0.91
     waterways
    0.83
     caves
    0.82
     diving
    0.81
     lake
    0.81
     habitats
    0.80
     intruder
    0.80
     vegetation
    0.80
    Activations Density 0.103%

    No Known Activations