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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. 6-RES-JB
    11. 4241
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    Explanations

    words related to geological features, especially mountains

    oai_token-act-pair · gpt-3.5-turbo

    references to mountains and related geographical features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tle
    -0.92
    NER
    -0.83
    uel
    -0.83
    ufact
    -0.81
    BACK
    -0.76
    tainment
    -0.75
    ually
    -0.75
    âĸ¬
    -0.74
    Snap
    -0.68
    Interstitial
    -0.68
    POSITIVE LOGITS
     biking
    1.05
     mountains
    0.97
     mountain
    0.85
     skiing
    0.84
     laure
    0.84
     footh
    0.83
     Everest
    0.83
     gorge
    0.83
     canyon
    0.83
    ishly
    0.83
    Activations Density 0.026%

    No Known Activations