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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. 0-RES-JB
    11. 6880
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    Explanations

    mentions of trees

    oai_token-act-pair · gpt-3.5-turbo

    references to "tree" and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Philadelphia
    -0.78
     Milan
    -0.77
     Santorum
    -0.72
    sburgh
    -0.70
     Pittsburgh
    -0.69
     Rossi
    -0.68
    respons
    -0.67
    Pitt
    -0.66
     Heller
    -0.65
     Stern
    -0.65
    POSITIVE LOGITS
     tree
    3.77
     Tree
    2.94
     trees
    2.93
    tree
    2.58
    Tree
    2.52
     Trees
    2.50
     forest
    1.49
     forests
    1.42
     oak
    1.41
     bushes
    1.40
    Activations Density 0.022%

    No Known Activations