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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. 7-RES-JB
    11. 18764
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    Explanations

    phrases related to comparisons of increasing intensity or level

    oai_token-act-pair · gpt-3.5-turbo

    comparisons related to degrees of difference or correlation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    «ĺ
    -0.89
    Ħ¢
    -0.85
    ï¸
    -0.84
    İĭ
    -0.84
    ¤
    -0.83
    ¾
    -0.80
    Ń
    -0.79
    Ń·
    -0.79
    ĪĴ
    -0.79
    ¢
    -0.78
    POSITIVE LOGITS
    than
    0.84
     than
    0.78
     Metatron
    0.68
     vested
    0.64
     absorbed
    0.63
     churn
    0.63
     lear
    0.62
     rede
    0.62
     rece
    0.61
     enrol
    0.61
    Activations Density 0.072%

    No Known Activations