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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. 4-RES-JB
    11. 5093
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    Explanations

    time-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    repeated references to "time."

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

    No Comments

    Negative Logits
    urat
    -0.83
    avorite
    -0.80
    inas
    -0.74
    uld
    -0.72
    Beaut
    -0.71
    ebted
    -0.65
    ortium
    -0.63
    olor
    -0.63
    ouk
    -0.62
    uctions
    -0.62
    POSITIVE LOGITS
    frames
    0.83
     lapse
    0.74
     frame
    0.70
    cens
    0.69
    period
    0.69
    rose
    0.68
    frame
    0.67
    days
    0.67
    arella
    0.66
    ESA
    0.66
    Activations Density 0.024%

    No Known Activations