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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. 12551
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    Explanations

    words related to written publications like journals

    oai_token-act-pair · gpt-3.5-turbo

    references to academic journals

    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
     Hogan
    -0.76
     Cast
    -0.64
    ãĥĺãĥ©
    -0.63
     Lemon
    -0.62
    prem
    -0.62
     Vill
    -0.60
    Air
    -0.60
     Mohammad
    -0.60
     Beir
    -0.60
    Cap
    -0.60
    POSITIVE LOGITS
     journal
    3.80
     journals
    3.21
     Journals
    2.53
     Journal
    2.10
    Journal
    1.87
    journal
    1.87
     diary
    1.77
     magazine
    1.54
    ournals
    1.52
     notebook
    1.37
    Activations Density 0.019%

    No Known Activations