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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. 3-RES-JB
    11. 271
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    INDEX
    Explanations

    feeling-related words and phrases, particularly those expressing emotions or states of being

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal emotions and opinions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artney
    -0.86
    odder
    -0.66
    icidal
    -0.59
    ifice
    -0.59
    oard
    -0.58
     Kitt
    -0.58
    fts
    -0.58
    ousing
    -0.58
    ainer
    -0.57
    icides
    -0.57
    POSITIVE LOGITS
     myself
    1.06
    poke
    0.80
    arest
    0.75
    ¿½
    0.74
    jen
    0.73
     personally
    0.69
    ļé
    0.67
    EStream
    0.66
    Ļ½
    0.65
    chron
    0.65
    Activations Density 0.227%

    No Known Activations