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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. 10-RES-JB
    11. 987
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    Explanations

    phrases related to user actions or interactions

    oai_token-act-pair · gpt-3.5-turbo

    references to user interactions or commands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¿½
    -0.85
     millenn
    -0.80
    Ĭ±
    -0.80
    ariat
    -0.73
    parts
    -0.71
    ãĥ³ãĤ¸
    -0.69
    MpServer
    -0.68
     Palest
    -0.65
    pite
    -0.65
    interstitial
    -0.65
    POSITIVE LOGITS
    're
    1.51
    've
    1.26
     choose
    1.17
    'll
    1.12
     decide
    1.09
     specify
    1.03
     intend
    1.00
     initiate
    0.98
     allocate
    0.96
     browse
    0.95
    Activations Density 0.144%

    No Known Activations