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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. 20644
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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 @ 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
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    Negative Logits
    adder
    -0.67
     partName
    -0.64
    heit
    -0.62
     ascended
    -0.61
    cup
    -0.60
    lad
    -0.60
    uana
    -0.59
     Der
    -0.59
    adays
    -0.59
    keeper
    -0.59
    POSITIVE LOGITS
    blank
    0.91
     è£ıè
    0.81
     targets
    0.81
    target
    0.80
    Target
    0.77
    arget
    0.76
     Target
    0.74
     targeted
    0.72
     target
    0.72
    HUD
    0.71
    Activations Density 0.177%

    No Known Activations