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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. 443
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    The neuron is looking for instances where the word "ve" is used

    oai_token-act-pair · gpt-3.5-turbo

    the verb "have" in various conjugations and contexts

    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
     Sparrow
    -0.67
    matically
    -0.63
    Subject
    -0.62
     Handling
    -0.62
     Skydragon
    -0.61
    manager
    -0.61
    bang
    -0.60
    osa
    -0.59
     Crus
    -0.59
    ological
    -0.59
    POSITIVE LOGITS
     been
    1.02
    theless
    0.95
    mber
    0.92
     Been
    0.91
    been
    0.88
    ctors
    0.87
    ggie
    0.85
    tt
    0.84
    uld
    0.83
    tti
    0.82
    Activations Density 0.036%

    No Known Activations