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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. 6-RES-JB
    11. 10850
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    Explanations

    phrases related to advocacy and empowerment

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of being heard and the importance of voices in a community

    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
     abruptly
    -0.75
     depress
    -0.70
    yang
    -0.70
    ories
    -0.68
    ripp
    -0.67
    Rot
    -0.67
     precip
    -0.66
    oggle
    -0.64
    torn
    -0.63
     runaway
    -0.63
    POSITIVE LOGITS
     dignity
    0.99
     excellence
    0.96
     professionalism
    0.94
     integrity
    0.93
    Quality
    0.92
     decency
    0.90
     honesty
    0.90
    rity
    0.89
     respectfully
    0.88
     respectful
    0.87
    Activations Density 0.874%

    No Known Activations