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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. 10-RES-JB
    11. 5640
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    INDEX
    Explanations

    words related to positive behaviors and virtues

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to morality and social behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     takeaway
    -0.92
     timeline
    -0.89
     timelines
    -0.88
    inoa
    -0.84
     Timeline
    -0.82
     texted
    -0.79
     Michelle
    -0.79
    CNN
    -0.78
     referencing
    -0.78
     timeframe
    -0.77
    POSITIVE LOGITS
    ,—
    1.49
     negro
    1.41
     chiefly
    1.25
     Negro
    1.24
     Edition
    1.20
     thence
    1.16
     hitherto
    1.16
     scarcely
    1.12
     doubtless
    1.10
     brill
    1.10
    Activations Density 1.241%

    No Known Activations