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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. 10-RES-JB
    11. 7164
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    Explanations

    phrases related to taking action or making decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the importance of taking action or doing one's duty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rust
    -0.70
    livious
    -0.67
    transfer
    -0.64
    ipel
    -0.64
    voy
    -0.64
    entry
    -0.64
    roid
    -0.62
     Returning
    -0.62
    urgy
    -0.62
    say
    -0.61
    POSITIVE LOGITS
    soever
    1.13
     bothers
    0.92
     needs
    0.89
     necessary
    0.83
     they
    0.79
    necessary
    0.79
     needed
    0.78
     mattered
    0.78
     thou
    0.77
     THEY
    0.76
    Activations Density 0.050%

    No Known Activations