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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. 12588
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    Explanations

    phrases related to creating or building physical objects or structures

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to construction and creation

    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
    quickShipAvailable
    -0.67
     discretion
    -0.65
     setbacks
    -0.64
    ĪĴ
    -0.63
    inventoryQuantity
    -0.62
     Portug
    -0.59
     waning
    -0.58
     resumed
    -0.58
     bumped
    -0.57
     Practices
    -0.57
    POSITIVE LOGITS
     suitable
    0.91
     WITHOUT
    0.90
     anew
    0.80
     based
    0.78
     believable
    0.76
    onto
    0.75
     resembling
    0.75
     worthy
    0.74
     capable
    0.73
     accordingly
    0.72
    Activations Density 0.458%

    No Known Activations