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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. 0-RES-JB
    11. 9751
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    Explanations

    phrases related to the word "cur" with varying word endings like "curious", "curiousity", and "curing"

    oai_token-act-pair · gpt-3.5-turbo

    words related to curation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ago
    -0.76
    orld
    -0.75
    ynthesis
    -0.71
    ggle
    -0.70
    antasy
    -0.70
     Offense
    -0.69
    load
    -0.67
     Nightmare
    -0.67
    ale
    -0.66
    here
    -0.65
    POSITIVE LOGITS
     cur
    3.82
    cur
    2.22
    Cur
    2.04
     Cur
    2.02
     curb
    1.37
     curator
    1.23
     curated
    1.13
     quir
    1.09
     curls
    1.06
     curv
    1.00
    Activations Density 0.029%

    No Known Activations