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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. 22664
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    Explanations

    programming-related terms and concepts specifically related to Python and other software languages

    oai_token-act-pair · gpt-3.5-turbo

    statements describing characteristics or qualities of various subjects

    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
    Not in Any Lists

    No Comments

    Negative Logits
     brackets
    -0.64
    alin
    -0.62
     comprehension
    -0.59
    ../
    -0.58
    itri
    -0.58
    udeau
    -0.57
     stare
    -0.57
     allowances
    -0.57
     stakes
    -0.56
     Rober
    -0.56
    POSITIVE LOGITS
     supposed
    0.94
     definitely
    0.90
     headquartered
    0.90
     currently
    0.90
     synonymous
    0.89
     notoriously
    0.88
    rael
    0.88
     trending
    0.88
    nt
    0.88
     NOT
    0.87
    Activations Density 0.322%

    No Known Activations