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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. 10-RES-JB
    11. 16324
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    Explanations

    sentences containing a mixture of textual information and specific characters or symbols

    oai_token-act-pair · gpt-3.5-turbo

    content related to instructional guides and documentation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    psc
    -0.88
    doms
    -0.82
    hene
    -0.77
    dom
    -0.76
    aturation
    -0.75
    Initialized
    -0.75
    ahu
    -0.75
    ester
    -0.74
    ong
    -0.73
    Lago
    -0.73
    POSITIVE LOGITS
     instructions
    1.49
     descriptions
    1.45
     explanations
    1.41
     links
    1.36
     detailed
    1.36
     screenshots
    1.33
     details
    1.31
     diagrams
    1.26
     directions
    1.24
     quotes
    1.24
    Activations Density 0.296%

    No Known Activations