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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. 2-RES-JB
    11. 14565
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    Explanations

    phrases related to events or incidents that have occurred

    oai_token-act-pair · gpt-3.5-turbo

    phrases and questions about significant events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arta
    -0.93
    ently
    -0.80
    mens
    -0.80
    hetically
    -0.79
    ilts
    -0.79
    urdy
    -0.79
    reci
    -0.78
    orthy
    -0.77
    hart
    -0.76
    uffed
    -0.75
    POSITIVE LOGITS
     happening
    0.87
     happen
    0.85
     occurring
    0.79
     Happ
    0.78
     happened
    0.77
    EStream
    0.76
     Canaver
    0.76
     undone
    0.75
     Lans
    0.72
     wrong
    0.71
    Activations Density 0.019%

    No Known Activations