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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. 24533
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    Explanations

    These activations suggest that the neuron is looking for names of specific places, people, and entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or names associated with people and places

    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
     defect
    -0.70
    ufact
    -0.69
    ucl
    -0.67
    shire
    -0.64
    etheus
    -0.57
     imperative
    -0.56
     narrated
    -0.56
    ensical
    -0.55
    arcity
    -0.54
     cour
    -0.54
    POSITIVE LOGITS
    hiba
    0.80
    wagen
    0.79
    agi
    0.74
    Mods
    0.73
    scl
    0.70
    hei
    0.69
    kat
    0.68
    hesda
    0.64
    apons
    0.63
    Container
    0.62
    Activations Density 1.157%

    No Known Activations