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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. 6-RES-JB
    11. 690
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    Explanations

    locations or proper nouns typically starting with "Le"

    oai_token-act-pair · gpt-3.5-turbo

    the word "Le" followed by a significant number of occurrences related to specific locations or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -1.00
    ãĥ¼ãĥĨ
    -0.95
    etheless
    -0.94
    ividual
    -0.93
    aneers
    -0.88
    ãģĨ
    -0.87
    raints
    -0.80
    âĶģ
    -0.79
     teasp
    -0.76
    iversal
    -0.73
    POSITIVE LOGITS
    isure
    1.27
    lean
    1.11
    ukemia
    1.02
    icester
    1.02
    agues
    1.00
    opard
    0.97
    aching
    0.94
    ather
    0.92
    aky
    0.90
    ven
    0.87
    Activations Density 0.021%

    No Known Activations