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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. 1-RES-JB
    11. 3708
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    INDEX
    Explanations

    references to tree-related entities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of trees

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glomer
    -0.81
    rontal
    -0.73
    dL
    -0.70
    ione
    -0.70
    Demand
    -0.70
    Digital
    -0.69
    anson
    -0.69
    agonists
    -0.68
     Stanton
    -0.67
    resso
    -0.64
    POSITIVE LOGITS
     tree
    1.28
     trees
    1.25
     Tree
    1.20
     Trees
    1.15
     canopy
    1.07
    Tree
    1.05
    tree
    0.98
    beard
    0.93
     stump
    0.92
    frog
    0.92
    Activations Density 0.012%

    No Known Activations