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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. 20870
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    Explanations

    words related to compartmentalization or categorization

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with compartmentalization and related contexts

    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
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    Negative Logits
     knees
    -0.67
     premier
    -0.65
     lighting
    -0.64
    lights
    -0.64
     sund
    -0.63
     dotted
    -0.63
     tech
    -0.62
     natives
    -0.62
    orns
    -0.62
     faiths
    -0.62
    POSITIVE LOGITS
    etta
    0.97
    inventoryQuantity
    0.97
     compartment
    0.94
     Mellon
    0.91
    artment
    0.86
    éĹĺ
    0.83
    bryce
    0.82
    ilage
    0.82
    artments
    0.81
    aband
    0.81
    Activations Density 0.027%

    No Known Activations