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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. 493
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    Explanations

    quotations within text

    oai_token-act-pair · gpt-3.5-turbo

    statements made by spokespersons or representatives

    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
     doom
    -0.82
    ãĤ¼ãĤ¦ãĤ¹
    -0.78
     charisma
    -0.76
     sidx
    -0.72
     Mex
    -0.67
    soDeliveryDate
    -0.66
     riches
    -0.66
     cram
    -0.66
     Nose
    -0.65
     mound
    -0.65
    POSITIVE LOGITS
     apologised
    0.95
     clarification
    0.90
     refunds
    0.86
    Statement
    0.86
     declined
    0.86
     briefed
    0.81
     inquiries
    0.80
     enqu
    0.80
     discontinued
    0.79
     spokeswoman
    0.79
    Activations Density 0.819%

    No Known Activations