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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
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    Explanations

    expressions of desire or regret

    oai_token-act-pair · gpt-3.5-turbo

    expressions of regret or desire related to missed opportunities

    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
     violating
    -0.61
     effectively
    -0.59
     brink
    -0.58
     Question
    -0.58
     plank
    -0.57
     intolerance
    -0.57
     unacceptable
    -0.55
    è¦ļéĨĴ
    -0.54
     understandably
    -0.53
     violation
    -0.53
    POSITIVE LOGITS
     hadn
    0.95
     weren
    0.84
     remembered
    0.84
     didnt
    0.79
     listened
    0.77
     existed
    0.75
    were
    0.75
     someday
    0.75
    terday
    0.74
    had
    0.73
    Activations Density 0.117%

    No Known Activations