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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. 7478
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    Explanations

    The main thing this neuron does is find phrases related to negative consequences or issues

    oai_token-act-pair · gpt-3.5-turbo

    words related to problems or challenges

    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
     classy
    -0.77
     excel
    -0.76
     gifted
    -0.74
     cultured
    -0.73
     sublime
    -0.71
     proudly
    -0.71
     supreme
    -0.70
     orally
    -0.70
     eleg
    -0.70
     fictional
    -0.70
    POSITIVE LOGITS
    ruption
    1.25
    urrence
    1.16
    activation
    1.15
    issions
    1.12
    aution
    1.12
    downs
    1.12
    rification
    1.09
    illation
    1.07
    amping
    1.05
    gradation
    1.04
    Activations Density 0.395%

    No Known Activations