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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. 10893
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    Explanations

    sections of text marked by a specific character sequence

    oai_token-act-pair · gpt-3.5-turbo

    instances of expressions that indicate severeness or intensity

    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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    Negative Logits
    hement
    -0.81
     Krypt
    -0.69
     XIII
    -0.67
     glare
    -0.67
     Tag
    -0.66
     Magicka
    -0.63
     Slug
    -0.63
     Lug
    -0.62
     Alibaba
    -0.61
     flats
    -0.60
    POSITIVE LOGITS
    ³³³³³³³³³³³³³³³³
    1.04
    ³³³³³³³³
    0.97
    shall
    0.92
    ³³³
    0.87
    bus
    0.84
    rail
    0.82
    ex
    0.82
    deb
    0.81
    ³³³³
    0.81
    bush
    0.80
    Activations Density 0.259%

    No Known Activations