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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. 2-RES-JB
    11. 891
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    INDEX
    Explanations

    nouns related to categories of objects, jobs, societal sectors, or activities

    oai_token-act-pair · gpt-4-turbo

    items related to different categories such as leisure activities, industries, and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    a wide variety of topics and items related to consumer goods, education, and societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eanor
    -0.51
    =-=-
    -0.50
    ldon
    -0.49
    aeda
    -0.49
    achu
    -0.48
    awar
    -0.47
     suspic
    -0.46
    agame
    -0.45
     nutshell
    -0.45
    ----------
    -0.45
    POSITIVE LOGITS
    ãĥ³ãĤ¸
    0.50
     alike
    0.49
    ãĥ¼ãĥĨ
    0.47
     etc
    0.46
     traders
    0.46
     installations
    0.45
    omics
    0.45
     respectively
    0.44
    wise
    0.43
    ).[
    0.43
    Activations Density 3.582%

    No Known Activations