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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. 23691
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    Explanations

    verbs related to taking action or performing tasks

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "doing what," indicating a focus on actions and their justifications

    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
    ipel
    -0.72
     Returning
    -0.67
    rust
    -0.67
    por
    -0.63
    voy
    -0.62
    say
    -0.61
    UTH
    -0.61
    arer
    -0.60
    AGE
    -0.60
    roads
    -0.59
    POSITIVE LOGITS
    soever
    1.18
     happens
    0.77
     they
    0.77
     bothers
    0.74
     necessary
    0.72
    necessary
    0.72
     thou
    0.71
     mattered
    0.70
     needs
    0.68
     needed
    0.67
    Activations Density 0.045%

    No Known Activations