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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    mentions of population sizes and statistics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of population statistics

    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
    vell
    -0.86
    awaru
    -0.75
    ĪĴ
    -0.74
    ery
    -0.74
    href
    -0.72
    rah
    -0.72
    uran
    -0.71
    otti
    -0.70
    POSE
    -0.70
    rament
    -0.69
    POSITIVE LOGITS
     density
    0.83
     residing
    0.83
    population
    0.80
     population
    0.78
     populace
    0.74
     centers
    0.73
     dwelling
    0.72
     inhab
    0.72
     genetics
    0.71
     dwell
    0.71
    Activations Density 0.031%

    No Known Activations