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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. 13242
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    Explanations

    digital terms or technology-related terms, such as "programmatic", "interface," and "server CPUs."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to systematic or programmatic processes

    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
    ivan
    -1.14
    urn
    -0.67
     Cron
    -0.66
    oken
    -0.65
    CP
    -0.65
     cov
    -0.64
    efer
    -0.64
    ohn
    -0.63
    ormon
    -0.63
     Cox
    -0.63
    POSITIVE LOGITS
    matic
    2.70
    matically
    1.85
    iens
    1.56
    ozy
    1.46
    ande
    1.44
    oris
    1.22
     Vu
    1.16
     farther
    1.13
     Mali
    1.08
    mable
    1.07
    Activations Density 0.052%

    No Known Activations