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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. 6-RES-JB
    11. 18897
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    Explanations

    keywords related to success or popularity, particularly in the context of entertainment or media

    oai_token-act-pair · gpt-3.5-turbo

    mentions of successful or popular entertainment, particularly music and film

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æ©Ł
    -0.77
    pires
    -0.74
    ¥µ
    -0.64
    adian
    -0.63
    Aust
    -0.63
     srfAttach
    -0.62
    orld
    -0.62
    otive
    -0.62
    UX
    -0.62
    ĨĴ
    -0.62
    POSITIVE LOGITS
    ched
    1.07
    achi
    1.07
    chens
    1.06
    ches
    1.04
    ters
    0.90
    ted
    0.86
    ãĤ¤ãĥĪ
    0.85
    ting
    0.85
    tle
    0.84
    dos
    0.81
    Activations Density 0.029%

    No Known Activations