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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. 9-RES-JB
    11. 23297
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    Explanations

    specific time-related events or transitions

    oai_token-act-pair · gpt-3.5-turbo

    references to time-related events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    tty
    -0.79
    acus
    -0.77
    greg
    -0.76
    atin
    -0.75
    Spons
    -0.72
    Ranked
    -0.66
    etch
    -0.64
    wn
    -0.64
    ovy
    -0.62
    resents
    -0.62
    POSITIVE LOGITS
    upon
    1.32
     point
    0.84
    soever
    0.81
     time
    0.78
     eventual
    0.77
     circumstance
    0.75
     they
    0.72
    kson
    0.71
     he
    0.71
     she
    0.68
    Activations Density 0.054%

    No Known Activations