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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 22922
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    Explanations

    verbs related to causing potential negative impact, risk, or doubt

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "put" and its variations, indicating a focus on actions or consequences

    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
     |--
    -0.71
    ificent
    -0.69
    cade
    -0.67
    HOW
    -0.62
    xxxx
    -0.62
    uary
    -0.62
    cue
    -0.60
    âĹ¼
    -0.60
    ocaly
    -0.60
    è¦ļéĨĴ
    -0.59
    POSITIVE LOGITS
     pressure
    1.21
     undue
    1.17
     strain
    1.12
     emphasis
    1.03
     brakes
    1.03
     downward
    0.99
     constraints
    0.96
     limits
    0.92
     strains
    0.92
     forth
    0.88
    Activations Density 0.061%

    No Known Activations