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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. 8-RES-JB
    11. 15190
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    Explanations

    dates, emphasizing current events, and describing progress or steps toward a goal

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating anticipation or expectation about future events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reet
    -0.75
     differed
    -0.72
     guiActiveUnfocused
    -0.70
    uct
    -0.67
    eal
    -0.65
    ferred
    -0.65
     interchange
    -0.64
     concess
    -0.63
     anonymously
    -0.63
    duty
    -0.63
    POSITIVE LOGITS
     Yesterday
    0.85
     awaiting
    0.85
     Already
    0.83
     nearing
    0.81
     Hopefully
    0.81
    iatus
    0.79
     Unemployment
    0.75
     uncertainties
    0.74
     Ong
    0.73
     dwindling
    0.72
    Activations Density 0.868%

    No Known Activations