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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. 8371
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    Explanations

    mentions of time durations, specifically involving months

    oai_token-act-pair · gpt-3.5-turbo

    references to durations of time, specifically related to months

    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
    pez
    -0.73
    ourke
    -0.69
     Aires
    -0.68
    ARP
    -0.68
    ifice
    -0.65
    APS
    -0.63
    querque
    -0.63
    ierrez
    -0.62
    rophic
    -0.62
    asio
    -0.61
    POSITIVE LOGITS
    theless
    1.06
    ly
    0.96
    etheless
    0.84
    lies
    0.83
    ths
    0.78
    iversary
    0.78
     installments
    0.76
    LY
    0.75
     intervals
    0.74
    wise
    0.73
    Activations Density 0.022%

    No Known Activations