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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. 16655
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    Explanations

    time durations mentioned in years

    oai_token-act-pair · gpt-3.5-turbo

    references to periods of time and durations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    pex
    -0.64
    isky
    -0.63
    ãĤ¨ãĥ«
    -0.63
     Caption
    -0.62
    shield
    -0.60
    bg
    -0.60
    itten
    -0.59
    apest
    -0.59
    Pad
    -0.57
    geist
    -0.57
    POSITIVE LOGITS
     weeks
    1.28
     months
    1.27
     hundred
    1.19
     decades
    1.16
     years
    1.16
     days
    1.09
     thirds
    1.06
     dozen
    1.05
     consecutive
    1.05
     thousand
    1.03
    Activations Density 0.115%

    No Known Activations