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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. 8-RES-JB
    11. 22263
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    Explanations

    references to "sample" or discussions about sample sizes in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to sample size in research contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    die
    -0.76
    ModLoader
    -0.75
    lesiastical
    -0.70
    dies
    -0.70
     vigilance
    -0.65
    lisher
    -0.65
    Prev
    -0.64
    lez
    -0.64
    der
    -0.63
     marqu
    -0.63
    POSITIVE LOGITS
    icles
    0.80
     sample
    0.79
     sizes
    0.77
     Sample
    0.76
     sampling
    0.76
     collected
    0.75
    meal
    0.75
     samples
    0.74
    ographic
    0.72
    alogy
    0.72
    Activations Density 0.039%

    No Known Activations