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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. 7-RES-JB
    11. 16265
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     thereof
    -0.62
     ..."
    -0.57
     thereto
    -0.56
     âĢ¦"
    -0.54
     trans
    -0.51
     respectively
    -0.50
     encomp
    -0.49
     fetch
    -0.49
     tender
    -0.48
     pony
    -0.48
    POSITIVE LOGITS
    ogether
    0.89
    prisingly
    0.71
    inarily
    0.69
    abases
    0.69
    surprisingly
    0.69
    roximately
    0.68
    tymology
    0.65
    quartered
    0.62
    xtap
    0.61
    resa
    0.61
    Activations Density 0.656%

    No Known Activations