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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16256
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    Explanations

    locations or street names starting with "Le"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -1.00
    ividual
    -0.93
    etheless
    -0.91
    ãĥ¼ãĥĨ
    -0.90
    ãģĨ
    -0.82
    aneers
    -0.78
    âĶģ
    -0.75
    raints
    -0.73
     Concepts
    -0.67
    èĢħ
    -0.66
    POSITIVE LOGITS
    isure
    1.30
    agues
    1.06
    lean
    1.04
    opard
    1.04
    ukemia
    1.03
    aching
    1.00
    icester
    1.00
    ather
    0.94
    aky
    0.94
    ven
    0.92
    Activations Density 0.023%

    No Known Activations