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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. 3-RES-JB
    11. 20301
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    Explanations

    time-related references

    oai_token-act-pair · gpt-3.5-turbo

    mentions of time indicators or sequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ceive
    -0.74
    edIn
    -0.73
    tnc
    -0.71
    oots
    -0.70
    attery
    -0.64
    avement
    -0.63
    amia
    -0.63
    sense
    -0.63
    poke
    -0.62
    mone
    -0.62
    POSITIVE LOGITS
     drawback
    0.79
     downside
    0.79
     exception
    0.78
     caveat
    0.75
    quickShipAvailable
    0.71
     question
    0.70
     irony
    0.68
     assumes
    0.64
    etsk
    0.63
     disclaimer
    0.62
    Activations Density 0.395%

    No Known Activations