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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. 1716
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    Explanations

    French terms related to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "Le" in various contexts

    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
    ãģĨ
    -0.97
    ãĥ¼ãĥĨ
    -0.90
    ividual
    -0.89
    aneers
    -0.89
    acca
    -0.88
    ħĭ
    -0.87
     teasp
    -0.85
    MODE
    -0.83
    iosyncr
    -0.79
    ĸļ
    -0.77
    POSITIVE LOGITS
    icester
    1.15
    isure
    1.01
    opard
    0.93
    ttes
    0.91
    Bron
    0.89
    lean
    0.88
    agues
    0.88
    ague
    0.86
    lla
    0.85
    ather
    0.81
    Activations Density 0.005%

    No Known Activations