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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. 5656
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    INDEX
    Explanations

    expressions indicating desire or preference

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of wanting or expecting something to happen

    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
    trap
    -0.73
     whistle
    -0.69
    cult
    -0.67
    EStreamFrame
    -0.65
    prime
    -0.65
    locked
    -0.64
    wake
    -0.62
    ascal
    -0.60
    purpose
    -0.59
     eaves
    -0.59
    POSITIVE LOGITS
    awed
    0.84
    enance
    0.84
    dust
    0.77
     eye
    0.74
    WARD
    0.74
    erala
    0.73
    seeing
    0.73
    lights
    0.72
     mete
    0.72
    terday
    0.69
    Activations Density 0.090%

    No Known Activations