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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. 11-RES-JB
    11. 21049
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    Explanations

    words related to personal behavior and habits

    oai_token-act-pair · gpt-3.5-turbo

    expressions of psychological states and behaviors related to distraction and obsession

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resumed
    -0.79
     restored
    -0.66
     totaled
    -0.66
    asus
    -0.66
    ONDON
    -0.64
     recovered
    -0.64
    çīĪ
    -0.64
    ongyang
    -0.62
     freed
    -0.61
     Liberation
    -0.60
    POSITIVE LOGITS
     whenever
    1.20
     sometimes
    1.10
     unnecessarily
    1.10
     when
    1.05
     unconsciously
    0.98
     inappropriately
    0.96
    sometimes
    0.96
     depending
    0.95
     blindly
    0.95
     awkwardly
    0.94
    Activations Density 0.418%

    No Known Activations