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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. 18610
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    Explanations

    phrases expressing that something contributes positively or enhances the quality of a situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate potential or positive outcomes

    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
    Not in Any Lists

    No Comments

    Negative Logits
    phia
    -0.80
    soever
    -0.73
     Milton
    -0.65
     quar
    -0.58
     Ples
    -0.57
     Steps
    -0.57
     intrins
    -0.57
    Ħ¢
    -0.57
    staff
    -0.55
     ItemLevel
    -0.55
    POSITIVE LOGITS
     compelling
    0.73
    ebin
    0.68
     easier
    0.67
    asty
    0.66
     efficient
    0.65
    cible
    0.65
     nerv
    0.64
     smoother
    0.63
     safer
    0.63
    culus
    0.62
    Activations Density 0.061%

    No Known Activations