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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 3321
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    Explanations

    phrases related to cause and effect

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causes and consequences of various issues or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.70
    BuyableInstoreAndOnline
    -0.55
    estern
    -0.52
     compr
    -0.50
    zan
    -0.50
    phia
    -0.46
     Nadu
    -0.46
    inally
    -0.46
    prus
    -0.45
     redes
    -0.45
    POSITIVE LOGITS
     of
    1.55
     thereof
    1.46
    .
    1.14
    of
    1.14
     OF
    1.13
    Of
    1.13
     Of
    1.12
    .[
    1.07
    .]
    1.03
    .(
    0.98
    Activations Density 1.253%

    No Known Activations