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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. 7-RES-JB
    11. 14016
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    Explanations

    references to leaves

    oai_token-act-pair · gpt-3.5-turbo

    references to leaves, particularly in terms of various types and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PDATE
    -0.85
    merce
    -0.68
    cedes
    -0.67
    AUD
    -0.63
    QUIRE
    -0.63
    anyahu
    -0.62
    ICAN
    -0.62
     adjud
    -0.62
    afort
    -0.62
    duction
    -0.61
    POSITIVE LOGITS
    let
    1.22
    lets
    1.13
    ho
    0.90
    leted
    0.89
     leaf
    0.88
    leaf
    0.87
    overs
    0.83
    iard
    0.83
     lettuce
    0.83
     litter
    0.82
    Activations Density 0.037%

    No Known Activations