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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. 6-RES-JB
    11. 2796
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    Explanations

    references to leaves, potentially including specific types of leaves or leaf-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to "leaf," especially in various contexts and forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PDATE
    -0.88
    AUD
    -0.71
    ICAN
    -0.70
     Admir
    -0.67
    umble
    -0.66
     incumb
    -0.64
    ENTION
    -0.63
    duction
    -0.63
    alty
    -0.63
    DEV
    -0.62
    POSITIVE LOGITS
    let
    1.16
    lets
    1.11
    leted
    0.97
     leaf
    0.97
    leaf
    0.93
     lettuce
    0.92
    iard
    0.89
    worm
    0.88
    stal
    0.81
    worker
    0.81
    Activations Density 0.032%

    No Known Activations