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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. 323
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    INDEX
    Explanations

    ordinal numbers related to sequence or ranking

    oai_token-act-pair · gpt-3.5-turbo

    references to ordinal numbers or rankings

    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
    infeld
    -0.71
    Cra
    -0.65
    cks
    -0.65
    facts
    -0.64
    IDA
    -0.63
    Statistics
    -0.62
     Hendricks
    -0.62
    ++++++++++++++++
    -0.61
    bda
    -0.61
    uploads
    -0.60
    POSITIVE LOGITS
     inning
    1.17
    teenth
    1.04
    ousand
    1.01
    irty
    0.95
    ieth
    0.91
     century
    0.90
     iteration
    0.90
     quarter
    0.90
    eenth
    0.87
     installment
    0.87
    Activations Density 0.055%

    No Known Activations