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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. 9-RES-JB
    6. 16996
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    Explanations

    quotations in text

    oai_token-act-pair · gpt-3.5-turbo

    statements made by individuals, often followed by a punctuation mark

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ascend
    -0.70
     preval
    -0.69
     unsus
    -0.66
     tremend
    -0.63
     offshore
    -0.62
     consequential
    -0.62
     oppress
    -0.61
     nom
    -0.61
     nominations
    -0.61
     abundantly
    -0.60
    POSITIVE LOGITS
     "(
    1.40
     "â̦
    1.21
     "[
    1.17
     "'
    1.16
     "...
    1.13
     "
    1.08
     ""
    1.00
     Asked
    0.95
     "$
    0.94
     "+
    0.94
    Activations Density 0.151%

    No Known Activations