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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. 8-RES-JB
    11. 712
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    Explanations

    locations or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    names of locations or geographic references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    20439
    -0.80
     sugg
    -0.79
     phyl
    -0.76
     acron
    -0.75
     photoc
    -0.70
     activ
    -0.69
     antibodies
    -0.69
     ult
    -0.68
     pedals
    -0.67
     symb
    -0.67
    POSITIVE LOGITS
    borough
    1.04
    atown
    1.03
     City
    1.00
    erville
    0.98
    town
    0.98
    chester
    0.96
    opolis
    0.96
    ville
    0.96
    ropolis
    0.92
     Valley
    0.92
    Activations Density 0.200%

    No Known Activations