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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. 9-RES-JB
    11. 8681
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    Explanations

    terminology related to information or data

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "information" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aughs
    -0.74
    atism
    -0.68
    dog
    -0.67
     Parables
    -0.66
    atos
    -0.65
    ModLoader
    -0.65
    gg
    -0.65
    igham
    -0.62
    neys
    -0.62
    kus
    -0.61
    POSITIVE LOGITS
     glean
    1.07
     overload
    1.00
     gathered
    0.94
     retrieval
    0.93
     theoret
    0.91
     regarding
    0.86
     gathering
    0.85
     pertaining
    0.84
     about
    0.84
    frame
    0.83
    Activations Density 0.051%

    No Known Activations