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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. 11-RES-JB
    11. 5010
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    Explanations

    terms related to statistical sampling methods

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to statistical sampling and analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Deals
    -0.83
    Fighting
    -0.76
    cair
    -0.74
    IDES
    -0.74
     Talks
    -0.73
    lease
    -0.72
     Geh
    -0.71
     Fight
    -0.71
     Terminal
    -0.68
     Parkway
    -0.67
    POSITIVE LOGITS
     sampling
    1.63
     methodological
    1.52
     sample
    1.52
     heterogeneity
    1.52
     confounding
    1.44
     statistical
    1.44
     samples
    1.36
     biases
    1.33
     bias
    1.33
     sampled
    1.28
    Activations Density 0.410%

    No Known Activations