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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. 4423
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    Explanations

    phrases related to intentional actions or efforts

    oai_token-act-pair · gpt-3.5-turbo

    instances of organized efforts or attempts related to collaboration or strategic actions

    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
     disse
    -0.73
     ejac
    -0.59
     amen
    -0.56
    equ
    -0.54
    KNOWN
    -0.53
     Amen
    -0.53
    ENA
    -0.53
    é¾įåĸļ士
    -0.52
    ideos
    -0.52
    iannopoulos
    -0.52
    POSITIVE LOGITS
     by
    1.49
    by
    1.11
     BY
    1.03
    By
    0.99
     By
    0.96
     from
    0.91
     undertaken
    0.87
    Enlarge
    0.82
     among
    0.72
     emanating
    0.71
    Activations Density 0.473%

    No Known Activations