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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. 9-RES-JB
    11. 3471
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    Explanations

    additional information and resources mentioned in a document

    oai_token-act-pair · gpt-3.5-turbo

    instances of labels or categories related to additional information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ifice
    -0.81
    Ïī
    -0.80
    poke
    -0.73
    onement
    -0.71
    encer
    -0.70
    pection
    -0.70
    riz
    -0.69
    imeter
    -0.69
    phia
    -0.68
    arden
    -0.68
    POSITIVE LOGITS
     Features
    1.44
     Examples
    1.36
     Locations
    1.28
     Notes
    1.22
     Details
    1.22
     Thoughts
    1.21
     Posts
    1.21
     Languages
    1.20
     Comments
    1.19
     Contents
    1.19
    Activations Density 0.180%

    No Known Activations