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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. 11-RES-JB
    11. 23199
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    Explanations

    references to desert landscapes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the desert and related environmental conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.83
    */(
    -0.70
    tle
    -0.68
    ttle
    -0.67
    enny
    -0.66
    cester
    -0.66
    ahead
    -0.66
    internal
    -0.65
     Ole
    -0.65
    yright
    -0.64
    POSITIVE LOGITS
     sands
    1.11
     tort
    0.99
     wasteland
    0.99
    ification
    0.98
     desert
    0.88
     dwell
    0.86
     canyon
    0.82
    ion
    0.82
     deserts
    0.81
     biome
    0.81
    Activations Density 0.046%

    No Known Activations