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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. 834
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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
    Not in Any Lists

    No Comments

    Negative Logits
    imb
    -0.72
    ny
    -0.70
    jet
    -0.69
    launch
    -0.67
    ffe
    -0.66
    nings
    -0.65
    define
    -0.65
    cake
    -0.64
    seller
    -0.64
    aughter
    -0.64
    POSITIVE LOGITS
    atively
    0.78
    ¬¼
    0.76
     Integrity
    0.76
    ational
    0.75
    utan
    0.75
    Pixel
    0.72
    ority
    0.69
    Ĥª
    0.69
     Humanity
    0.68
    atoon
    0.68
    Activations Density 0.027%

    No Known Activations