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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. 3-RES-JB
    11. 5903
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    Explanations

    references to leaves

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of leaves or leaf-related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     incumb
    -0.69
    PDATE
    -0.65
    alty
    -0.64
    nces
    -0.64
    Rated
    -0.63
    FACE
    -0.63
    PUT
    -0.62
    AUD
    -0.61
    cffff
    -0.60
     proprietary
    -0.59
    POSITIVE LOGITS
    let
    1.08
     leaf
    1.07
    lets
    1.00
    leaf
    1.00
     lettuce
    0.95
    leted
    0.91
    worm
    0.89
    iard
    0.81
    ho
    0.79
    edIn
    0.78
    Activations Density 0.009%

    No Known Activations