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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. 1-RES-JB
    11. 5341
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    Explanations

    references to sample sizes in data analysis or research studies

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical samples

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    cyclopedia
    -0.81
    doms
    -0.78
    lisher
    -0.77
    die
    -0.76
    rongh
    -0.73
    uilt
    -0.72
    ModLoader
    -0.72
    zzle
    -0.68
     spokes
    -0.67
    ricia
    -0.66
    POSITIVE LOGITS
     sample
    1.18
     Sample
    1.17
     samples
    0.99
    sample
    0.92
    Sample
    0.91
     sampling
    0.86
     sampled
    0.81
    Grab
    0.76
     snapshots
    0.72
    alogy
    0.71
    Activations Density 0.010%

    No Known Activations