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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. 24122
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    Explanations

    locations or places, potentially with proper nouns and uncommon words

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to geographical locations or entities

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    20439
    -0.89
     photoc
    -0.74
     acron
    -0.70
    */(
    -0.70
     sugg
    -0.69
     pedals
    -0.68
     fitness
    -0.65
     phyl
    -0.64
     INF
    -0.64
     activ
    -0.63
    POSITIVE LOGITS
    atown
    0.98
    mouth
    0.94
    town
    0.93
    opolis
    0.93
    borough
    0.91
    western
    0.90
    erville
    0.90
     City
    0.90
    lington
    0.89
    sterdam
    0.89
    Activations Density 0.162%

    No Known Activations