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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. 10-RES-JB
    11. 8340
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    Explanations

    phrases related to creating or building various things

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of creating or building something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enance
    -0.82
    ALT
    -0.78
    inventoryQuantity
    -0.77
    ighed
    -0.76
    unknown
    -0.75
     onwards
    -0.75
    times
    -0.74
    oft
    -0.73
     declines
    -0.73
    tm
    -0.72
    POSITIVE LOGITS
     cohesive
    1.13
     makeshift
    1.03
     coherent
    1.02
     masterpiece
    0.99
     composite
    0.98
     mosaic
    0.96
     new
    0.94
     believable
    0.94
     prototype
    0.92
     rapport
    0.90
    Activations Density 0.205%

    No Known Activations