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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. 6-RES-JB
    11. 13897
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    Explanations

    phrases related to research hypotheses and theories

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hypotheses and hypothesis testing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dos
    -0.82
    nia
    -0.78
    Rated
    -0.76
    Interstitial
    -0.76
    cow
    -0.76
    artney
    -0.75
    CLASSIFIED
    -0.73
    ãĥ¼ãĥ³
    -0.72
    thumbnails
    -0.71
    ateurs
    -0.70
    POSITIVE LOGITS
    icist
    1.05
     hypothesis
    0.91
     hypothes
    0.89
     hypotheses
    0.83
    ologies
    0.81
     assumptions
    0.78
     theory
    0.78
     theories
    0.78
     conjecture
    0.77
     strand
    0.75
    Activations Density 0.043%

    No Known Activations