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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. 7-RES-JB
    11. 11339
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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to collaboration and working relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     piled
    -0.65
    emetery
    -0.63
     conditioning
    -0.63
    condition
    -0.62
    inction
    -0.62
    brainer
    -0.61
    mol
    -0.61
    ortality
    -0.59
    ulsion
    -0.59
     crawl
    -0.59
    POSITIVE LOGITS
    enance
    0.72
    ¬¼
    0.69
     Investor
    0.69
     landowners
    0.69
     Indian
    0.68
     Nato
    0.67
     Gujarat
    0.66
     Cosponsors
    0.66
     India
    0.66
     stakeholders
    0.65
    Activations Density 0.476%

    No Known Activations