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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. 1-RES-JB
    11. 21329
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    INDEX
    Explanations

    references to TED talks

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the TED Talks and related events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    metics
    -0.72
    Ö¼
    -0.72
    aternity
    -0.64
    rosc
    -0.64
    arty
    -0.64
     restrooms
    -0.62
    lain
    -0.59
    operative
    -0.59
     Ranked
    -0.58
     reciproc
    -0.58
    POSITIVE LOGITS
     TED
    1.03
    TED
    0.99
    escent
    0.83
    escription
    0.83
    ESCO
    0.82
    culosis
    0.79
     Talks
    0.79
    gements
    0.78
    ctors
    0.77
    ļéĨĴ
    0.76
    Activations Density 0.011%

    No Known Activations