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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 4403
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    Explanations

    technical or scientific terms related to interconnectedness, coherence, and structure

    oai_token-act-pair · gpt-3.5-turbo

    terms that describe complexity and interrelatedness in systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udeb
    -0.90
    phies
    -0.83
    Roy
    -0.82
    osponsors
    -0.82
    ovember
    -0.78
    Fax
    -0.73
    hiro
    -0.71
    rero
    -0.70
    HA
    -0.69
    ãĥīãĥ©
    -0.68
    POSITIVE LOGITS
     nature
    0.89
     phenomena
    0.88
     entity
    0.86
     organism
    0.85
     ecosystem
    0.83
     structures
    0.82
     ecosystems
    0.82
     loops
    0.82
     caus
    0.82
     continuum
    0.80
    Activations Density 0.201%

    No Known Activations