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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. 2-RES-JB
    11. 6163
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    Explanations

    mentions of specific types of trees, particularly oak and maple

    oai_token-act-pair · gpt-3.5-turbo

    references to specific types of trees

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Shapiro
    -0.77
     Canaver
    -0.73
    Money
    -0.72
    ICT
    -0.70
     Parenthood
    -0.69
     Transfer
    -0.67
     CPS
    -0.67
    Applic
    -0.66
     Rossi
    -0.65
    Dear
    -0.65
    POSITIVE LOGITS
     oak
    1.18
     wood
    1.06
     pine
    1.05
     beetle
    1.02
     woodland
    1.02
     tree
    0.89
     plantation
    0.89
     shelf
    0.88
     wal
    0.88
     shelves
    0.87
    Activations Density 0.017%

    No Known Activations