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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 9430
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    Explanations

    dates in various formats, with a slightly higher focus on dates in May

    oai_token-act-pair · gpt-3.5-turbo

    date-related information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    advertisement
    -0.81
    ãĥ³ãĤ¸
    -0.78
    atform
    -0.73
    ãĥ¼ãĥĨ
    -0.72
    rencies
    -0.72
    urities
    -0.69
    latable
    -0.68
    cients
    -0.67
    arbon
    -0.66
    è¦ļéĨĴ
    -0.66
    POSITIVE LOGITS
    ouk
    0.76
     KH
    0.68
     Cyrus
    0.64
     herself
    0.62
     MLA
    0.61
     climax
    0.61
     unwitting
    0.60
     seeds
    0.59
     Khe
    0.58
    hya
    0.58
    Activations Density 0.167%

    No Known Activations