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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. 1-RES-JB
    11. 22905
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    Explanations

    references to specific locations with the word "Falls" in their names

    oai_token-act-pair · gpt-3.5-turbo

    references to waterfalls

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ech
    -0.80
    mble
    -0.71
    other
    -0.65
    ifle
    -0.62
    acca
    -0.62
    oen
    -0.61
    micro
    -0.61
    uppet
    -0.61
    rupulous
    -0.60
     modification
    -0.60
    POSITIVE LOGITS
     Falls
    1.48
    dale
    0.88
    burgh
    0.87
    burg
    0.86
     Falling
    0.79
     Fargo
    0.76
     Niagara
    0.76
     Forge
    0.76
     unlaw
    0.75
     Ferry
    0.73
    Activations Density 0.006%

    No Known Activations