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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. 4-RES-JB
    11. 782
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.90
    selection
    -0.77
    »Ĵ
    -0.76
    eele
    -0.74
     garlic
    -0.72
    plane
    -0.70
    ©¶æ
    -0.70
    hyde
    -0.70
    ctors
    -0.69
     communism
    -0.68
    POSITIVE LOGITS
    aint
    1.07
    aints
    1.03
    iance
    1.00
    icated
    0.99
    ications
    0.99
    icit
    0.97
    iments
    0.97
    acent
    0.94
    ained
    0.92
    imentary
    0.92
    Activations Density 0.008%

    No Known Activations