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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. 9190
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    Explanations

    expressions related to strong positive feelings

    oai_token-act-pair · gpt-3.5-turbo

    expressions of love and affection

    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
     Diaz
    -0.59
     Huff
    -0.57
     Britann
    -0.56
    cean
    -0.55
    imeter
    -0.55
    acity
    -0.53
    required
    -0.53
    ãĥĥãĥĪ
    -0.52
    catentry
    -0.51
    panic
    -0.51
    POSITIVE LOGITS
    ELY
    1.05
    ILE
    1.01
    LY
    1.00
    ET
    1.00
    ARR
    0.99
    VERS
    0.98
    ILL
    0.97
    VILLE
    0.96
    ER
    0.95
    ON
    0.95
    Activations Density 0.132%

    No Known Activations