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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. 225
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    Explanations

    measurements or numerical figures

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate measurements or quantities

    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
    士
    -0.62
    Bridge
    -0.55
    Reviewer
    -0.55
    ername
    -0.53
    SPONSORED
    -0.53
    Strange
    -0.53
     Walls
    -0.52
    inventoryQuantity
    -0.52
    NetMessage
    -0.51
    zeb
    -0.51
    POSITIVE LOGITS
     approximately
    0.96
     sorts
    0.95
    approximately
    0.85
     roughly
    0.85
     âĪ¼
    0.85
    around
    0.81
     +/-
    0.81
     circa
    0.80
     ±
    0.78
     about
    0.77
    Activations Density 0.101%

    No Known Activations