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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. 8765
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    Explanations

    phrases related to bookmarks or marking something for future reference

    oai_token-act-pair · gpt-3.5-turbo

    references to "mark" or "marks," indicating significance or important annotations

    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
     reproductive
    -0.68
     bod
    -0.65
    ORE
    -0.61
     Lak
    -0.61
    é¾
    -0.60
     speaking
    -0.60
    ILLE
    -0.59
     surviv
    -0.59
     pest
    -0.59
     roomm
    -0.59
    POSITIVE LOGITS
    marks
    1.17
    mark
    1.10
    eer
    0.99
    eters
    0.98
    furt
    0.95
    hof
    0.94
    manship
    0.93
    hyde
    0.91
    erity
    0.90
    down
    0.90
    Activations Density 0.011%

    No Known Activations