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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. 12976
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    INDEX
    Explanations

    phrases related to experiencing something, especially difficulties or health effects

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "experiencing."

    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
    Nob
    -0.64
     column
    -0.64
     Mous
    -0.61
    arm
    -0.61
     Column
    -0.60
    geon
    -0.58
    Vote
    -0.58
    arms
    -0.56
    ulk
    -0.55
     Draw
    -0.55
    POSITIVE LOGITS
     experiencing
    3.24
     witnessing
    2.00
     encountering
    1.99
     undergoing
    1.86
     exhibiting
    1.61
     enjoying
    1.60
     suffering
    1.54
     experiences
    1.48
     seeing
    1.44
     discovering
    1.40
    Activations Density 0.021%

    No Known Activations