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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. 22161
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    Explanations

    Proper names of people

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and their actions or characteristics

    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
     Adds
    -0.82
    letes
    -0.75
    ebin
    -0.74
     decreases
    -0.70
    Examples
    -0.69
     Examples
    -0.67
     VIDEOS
    -0.67
     Allows
    -0.66
    ggles
    -0.65
    ](
    -0.65
    POSITIVE LOGITS
     hadn
    1.62
     had
    1.36
    had
    1.32
     awaited
    1.11
     owed
    1.10
     sensed
    1.10
     resided
    1.08
     knew
    1.07
     belonged
    1.07
     smelled
    1.06
    Activations Density 0.555%

    No Known Activations