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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. 11-RES-JB
    11. 5575
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    Explanations

    the word "get" with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "I get."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    worthy
    -0.74
     Pastebin
    -0.71
    taking
    -0.70
    agen
    -0.70
    ooters
    -0.70
    haus
    -0.69
     ante
    -0.64
    arming
    -0.62
    abil
    -0.61
    aning
    -0.61
    POSITIVE LOGITS
     annoyed
    1.07
     yelled
    1.04
     compliments
    1.02
     tired
    1.01
     bored
    1.00
     irritated
    0.97
     rewarded
    0.97
     asked
    0.95
     goose
    0.91
     pissed
    0.91
    Activations Density 0.087%

    No Known Activations