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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. 20433
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    Explanations

    mentions of specific words or phrases, such as names or technical terms

    oai_token-act-pair · gpt-3.5-turbo

    various forms of the word "ar" which may represent an abbreviation or thematic focus in the text

    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
    ĸļ
    -0.97
    ĨĴ
    -0.92
    ¬¼
    -0.86
    éĹĺ
    -0.79
    assetsadobe
    -0.76
    insula
    -0.67
    CRIP
    -0.67
    EStream
    -0.66
     pies
    -0.64
    ĪĴ
    -0.62
    POSITIVE LOGITS
    beit
    1.09
    riage
    1.04
    thur
    0.99
    aja
    0.98
    acter
    0.96
    acters
    0.94
    ctica
    0.92
    ban
    0.87
    allel
    0.87
    acha
    0.86
    Activations Density 0.043%

    No Known Activations