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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 8680
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    Explanations

    phrases related to taking care of tasks or responsibilities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "take care," particularly in various contexts of responsibility or maintenance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disbelief
    -0.68
    onite
    -0.65
    ANS
    -0.60
     Chili
    -0.60
    eele
    -0.60
     denial
    -0.59
    Kings
    -0.59
     envy
    -0.58
    assic
    -0.57
     sclerosis
    -0.57
    POSITIVE LOGITS
    taker
    1.18
    tesy
    1.03
    giving
    0.89
    tes
    0.89
    lessly
    0.85
    tta
    0.78
    fully
    0.78
    ful
    0.78
    taking
    0.76
    maid
    0.76
    Activations Density 0.012%

    No Known Activations