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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. 7647
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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
    pton
    -0.79
     disenfranch
    -0.76
     Royale
    -0.69
    iland
    -0.68
    itational
    -0.68
     vulner
    -0.67
    mand
    -0.65
    idine
    -0.63
     Garg
    -0.63
    illac
    -0.63
    POSITIVE LOGITS
    ŀ
    1.01
    Ĺ
    1.01
    IJ
    0.90
    OWN
    0.86
    ú
    0.83
    ness
    0.82
    ãĥĥãĥī
    0.81
    ¥
    0.81
    ĭ
    0.80
    ¬
    0.80
    Activations Density 0.020%

    No Known Activations