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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 1230
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    Explanations

    information or events that have been reported or mentioned by a source

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "reportedly."

    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
    ĸļ
    -0.82
    etime
    -0.76
    ERAL
    -0.75
    bern
    -0.74
    Appearances
    -0.71
    gers
    -0.69
    alist
    -0.68
    ravel
    -0.65
    allas
    -0.65
    ender
    -0.65
    POSITIVE LOGITS
     entertained
    0.85
     instructed
    0.79
     obtained
    0.78
     proc
    0.77
     possessed
    0.76
     disposed
    0.76
     purchased
    0.75
     solic
    0.75
     overheard
    0.74
     suffered
    0.73
    Activations Density 0.035%

    No Known Activations