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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. 11-RES-JB
    11. 24398
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instructions related to creating or managing lists

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onement
    -0.66
    obl
    -0.64
     externalToEVAOnly
    -0.63
    ONG
    -0.62
    vind
    -0.62
    Enhanced
    -0.61
    cel
    -0.61
    olt
    -0.61
    ãĥĦ
    -0.61
    izophren
    -0.60
    POSITIVE LOGITS
     each
    1.14
     which
    1.07
     keywords
    1.06
     everything
    1.04
     names
    1.03
     favorites
    1.01
     categories
    1.00
     EVERY
    1.00
     what
    0.98
     whom
    0.98
    Activations Density 0.298%

    No Known Activations