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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. 3111
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    Explanations

    words with negation prefixes

    oai_token-act-pair · gpt-3.5-turbo
    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
    ãĤ¼ãĤ¦ãĤ¹
    -0.66
    imeter
    -0.64
     showc
    -0.64
    urrency
    -0.61
     uninterrupted
    -0.61
    Ĥİ
    -0.60
    imeters
    -0.59
    Ļ½
    -0.58
     Lines
    -0.57
    ħĭ
    -0.57
    POSITIVE LOGITS
    withstanding
    0.94
    quite
    0.80
    yet
    0.78
    know
    0.72
    Quite
    0.71
    icable
    0.70
    necess
    0.70
    nice
    0.69
    Notice
    0.68
    onso
    0.67
    Activations Density 0.066%

    No Known Activations