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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. 1-RES-JB
    6. 8121
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    INDEX
    Explanations

    exaggeratedly negative things or situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "awful."

    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
    pai
    -0.88
    PU
    -0.84
    tein
    -0.83
    cius
    -0.81
    VO
    -0.81
    Drive
    -0.75
    quart
    -0.74
    PT
    -0.74
    DEP
    -0.74
    ceptions
    -0.73
    POSITIVE LOGITS
     awful
    1.17
     traged
    1.05
     conflic
    0.97
     dreadful
    0.85
     darn
    0.85
     horrible
    0.84
     earthqu
    0.83
     terrible
    0.81
     adolesc
    0.80
     doom
    0.79
    Activations Density 0.004%

    No Known Activations