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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. 4182
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    Explanations

    proper nouns, often related to people or specific entities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of proper nouns and specific names

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    No Comments

    Negative Logits
    ĺħ
    -0.70
     hostages
    -0.69
     tremend
    -0.69
    ²¾
    -0.69
    ģ«
    -0.67
     hindsight
    -0.65
     Skydragon
    -0.62
     captivity
    -0.61
     impulse
    -0.60
    ¿½
    -0.60
    POSITIVE LOGITS
    akeru
    0.88
    ihu
    0.80
    rescent
    0.71
    dale
    0.68
    erella
    0.68
    ounter
    0.68
    aste
    0.67
    eret
    0.66
     Nieto
    0.66
    utor
    0.66
    Activations Density 0.118%

    No Known Activations