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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. 11777
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    Explanations

    verbs related to taking action and making changes

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of improvement or creation

    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
    hood
    -0.60
    thia
    -0.59
    bour
    -0.58
     Mub
    -0.56
    assis
    -0.55
     presided
    -0.55
    ban
    -0.55
    phrine
    -0.54
    rous
    -0.54
    76561
    -0.54
    POSITIVE LOGITS
     sure
    1.29
    hift
    0.96
     adjustments
    0.81
    solete
    0.76
    itives
    0.76
     sense
    0.73
    ovych
    0.71
    awaru
    0.70
     Sense
    0.69
    sure
    0.68
    Activations Density 0.120%

    No Known Activations