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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. 11-RES-JB
    11. 23088
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    Explanations

    phrases related to preventing or avoiding events or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating prevention or avoidance of negative outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ryu
    -0.72
    ï¸ı
    -0.71
    rote
    -0.68
    lass
    -0.67
    dds
    -0.67
    issan
    -0.67
     gamble
    -0.64
    arse
    -0.64
    redits
    -0.63
    cies
    -0.62
    POSITIVE LOGITS
     being
    2.00
     happening
    1.83
     becoming
    1.76
     occurring
    1.75
    being
    1.73
     disappearing
    1.70
     appearing
    1.62
     costing
    1.60
     impacting
    1.58
     collapsing
    1.52
    Activations Density 0.567%

    No Known Activations