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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. 1-RES-JB
    11. 8042
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    Explanations

    phrases related to creation or production

    oai_token-act-pair · gpt-3.5-turbo

    the word "made" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Brune
    -0.65
     conditioning
    -0.63
    bour
    -0.63
     Nicol
    -0.62
     Clause
    -0.62
     nurs
    -0.61
    sit
    -0.60
     stripe
    -0.60
     Chad
    -0.58
     Fenrir
    -0.58
    POSITIVE LOGITS
    awaru
    1.02
     sure
    0.88
    dinand
    0.88
    ailable
    0.85
    ventus
    0.85
    iversal
    0.83
    ModLoader
    0.82
    emort
    0.81
    ÄŁ
    0.80
    roid
    0.80
    Activations Density 0.057%

    No Known Activations