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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    locations with the word "Falls" in their names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of geographical features related to waterfalls and falls

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

    No Comments

    Negative Logits
    mble
    -0.79
    ech
    -0.67
     Luther
    -0.67
    anyahu
    -0.66
    rons
    -0.65
     habitable
    -0.64
    rious
    -0.64
    other
    -0.64
    pai
    -0.63
    micro
    -0.61
    POSITIVE LOGITS
     Falls
    1.28
    dale
    0.92
     Meadows
    0.80
    ashtra
    0.77
    falls
    0.76
    burgh
    0.75
     Rite
    0.74
    head
    0.74
    bows
    0.73
     Creek
    0.72
    Activations Density 0.008%

    No Known Activations