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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 21134
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    Explanations

    I'm sorry, it seems like Neuron 4 did not show consistent activations to provide a clear summary. Let me know if you would like more assistance with this neuron or any other aspect

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "Continue reading" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ranch
    -0.83
    arse
    -0.70
    »Ĵ
    -0.70
    MpServer
    -0.68
    bid
    -0.66
    arious
    -0.66
    ĪĴ
    -0.66
    opic
    -0.66
    rador
    -0.63
    EStreamFrame
    -0.63
    POSITIVE LOGITS
     Continue
    0.81
     Continued
    0.80
     Loading
    0.73
    ...]
    0.71
    chu
    0.68
     Reading
    0.68
    taboola
    0.67
     Transcript
    0.66
     Advertisement
    0.64
    CLASSIFIED
    0.64
    Activations Density 0.012%

    No Known Activations