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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. 9-RES-JB
    11. 14200
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    aries
    -0.95
    enburg
    -0.73
    arro
    -0.73
    ahime
    -0.71
    arial
    -0.70
    cients
    -0.69
    andra
    -0.68
    ourced
    -0.68
    atos
    -0.67
    agne
    -0.66
    POSITIVE LOGITS
    âĸĵ
    0.90
    weight
    0.89
    iod
    0.87
    lihood
    0.81
    acebook
    0.78
    DIT
    0.76
    cake
    0.75
    theless
    0.73
    phrine
    0.73
    asionally
    0.71
    Activations Density 0.086%

    No Known Activations