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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. 1-RES-JB
    11. 6890
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    Explanations

    phrases related to past experiences or habits

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "used."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awk
    -0.71
    SPONSORED
    -0.71
    COMPLE
    -0.65
     Fidel
    -0.63
    brother
    -0.62
    reader
    -0.62
    wards
    -0.61
    ohm
    -0.61
     Dj
    -0.61
     Guant
    -0.61
    POSITIVE LOGITS
     Used
    0.85
    fully
    0.76
     condoms
    0.74
     used
    0.73
    nesday
    0.73
     aback
    0.69
     sparing
    0.68
    fulness
    0.68
     phrases
    0.68
    Used
    0.67
    Activations Density 0.044%

    No Known Activations