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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. 13881
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    Explanations

    phrases indicating the potential or imminent occurrence of an event or action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating impending situations or conditions

    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
    zona
    -0.69
    Untitled
    -0.63
    atial
    -0.62
    iner
    -0.60
    Gray
    -0.59
    MpServer
    -0.59
    AMA
    -0.59
    Commerce
    -0.59
     Prix
    -0.58
    ensis
    -0.57
    POSITIVE LOGITS
     verge
    1.09
     autop
    0.98
     brink
    0.97
     hiatus
    0.97
     pace
    0.97
     steroids
    0.96
     lockdown
    0.94
    etime
    0.94
     track
    0.93
     edge
    0.90
    Activations Density 0.079%

    No Known Activations