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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. 6-RES-JB
    11. 10782
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    Explanations

    The neuron is specifically searching for words related to tear gas

    oai_token-act-pair · gpt-3.5-turbo

    references to tears and emotional distress

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atar
    -0.84
    orea
    -0.72
    ancial
    -0.71
    stood
    -0.70
    eport
    -0.68
    raviolet
    -0.66
    enza
    -0.66
    ammy
    -0.66
    ocre
    -0.65
    enhagen
    -0.65
    POSITIVE LOGITS
    bows
    1.04
    bow
    0.95
    ful
    0.89
    stals
    0.81
    fully
    0.80
    bian
    0.80
    stained
    0.78
     tears
    0.73
    iffs
    0.73
    stal
    0.72
    Activations Density 0.016%

    No Known Activations