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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. 4-RES-JB
    11. 16655
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    Explanations

    phrases indicating the beginning of a new information or context

    oai_token-act-pair · gpt-3.5-turbo

    sections of text that introduce or summarize information

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

    No Comments

    Negative Logits
    cair
    -0.79
    culosis
    -0.73
    alties
    -0.66
    ãĤ¦
    -0.64
    çĽ
    -0.64
    ãĤµ
    -0.64
    avier
    -0.63
    éĹ
    -0.63
    Sem
    -0.63
    strument
    -0.63
    POSITIVE LOGITS
     rundown
    0.84
     excerpt
    0.81
     redacted
    0.77
     overview
    0.74
     STL
    0.70
     sneak
    0.70
     tentative
    0.68
     testim
    0.68
     summary
    0.68
     lesson
    0.67
    Activations Density 0.205%

    No Known Activations