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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. 1-RES-JB
    11. 23322
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    Explanations

    mentions of a specific term "Sa" with varying endings and in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Sa" followed by various names or terms associated with individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mercial
    -0.77
     Turing
    -0.76
    tics
    -0.76
    payer
    -0.76
    20439
    -0.75
    papers
    -0.74
    yright
    -0.73
    */(
    -0.73
    ãĥ¼ãĥĨãĤ£
    -0.72
    PRES
    -0.68
    POSITIVE LOGITS
     Sa
    1.12
    Sa
    1.07
    uten
    1.02
    uth
    0.95
    adish
    0.93
    ibaba
    0.86
    igon
    0.82
    eed
    0.82
    iva
    0.81
    arin
    0.81
    Activations Density 0.003%

    No Known Activations