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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. 8-RES-JB
    11. 23664
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    Explanations

    calls to action or invitations to interact in text

    oai_token-act-pair · gpt-3.5-turbo

    structural elements, formatting symbols, and references within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fraternity
    -0.64
     electing
    -0.62
     predec
    -0.61
     preservation
    -0.60
     disparate
    -0.58
     suites
    -0.57
     receivers
    -0.57
     elev
    -0.56
     advancing
    -0.56
     grouping
    -0.55
    POSITIVE LOGITS
     Quote
    0.84
     Posted
    0.83
     Retrieved
    0.80
     Logged
    0.80
    ================================================================
    0.79
    EDIT
    0.79
     Accessed
    0.78
     EDIT
    0.77
    <|endoftext|>
    0.77
     Delete
    0.77
    Activations Density 0.633%

    No Known Activations