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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. 3-RES-JB
    11. 24054
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    Explanations

    phrases related to sequences, instructions, or procedures

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate repetition, caution, or lack of formalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.81
    姫
    -0.74
     Christy
    -0.69
     largeDownload
    -0.67
    ischer
    -0.67
    LOS
    -0.65
    roller
    -0.65
    geist
    -0.63
    gow
    -0.63
    Topics
    -0.63
    POSITIVE LOGITS
     whatsoever
    1.08
     interruption
    0.91
     slightest
    0.88
     anymore
    0.79
     permission
    0.78
     nor
    0.74
     repetition
    0.74
     mention
    0.74
     foreseeable
    0.73
     pesky
    0.73
    Activations Density 0.260%

    No Known Activations