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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. 7550
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    INDEX
    Explanations

    sentences with high levels of emphasis or importance

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong personal feelings or enthusiasm

    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
    inary
    -0.75
    ifully
    -0.73
    ibrary
    -0.73
    iful
    -0.73
    antry
    -0.73
    ansas
    -0.72
    Delivery
    -0.71
    osi
    -0.70
    Reviewer
    -0.67
    ceptions
    -0.67
    POSITIVE LOGITS
     appreciate
    0.91
     ought
    0.86
     liked
    0.84
     appreciated
    0.83
     enjoyed
    0.83
     owe
    0.81
     felt
    0.78
     struggled
    0.76
     regret
    0.75
     deserved
    0.75
    Activations Density 0.041%

    No Known Activations