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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. 15630
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    INDEX
    Explanations

    mentions of legal clients and their relationships with lawyers

    oai_token-act-pair · gpt-3.5-turbo

    references to legal clients and their interactions

    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
    lighting
    -0.73
    ģ«
    -0.72
     Anniversary
    -0.71
    ATIONAL
    -0.68
    GGGG
    -0.67
     Haram
    -0.67
     Jackets
    -0.65
     Ame
    -0.65
     ILCS
    -0.65
    Poll
    -0.62
    POSITIVE LOGITS
    ele
    1.38
     clients
    1.12
     client
    0.97
     confidentiality
    0.91
    ients
    0.82
    client
    0.80
    elist
    0.80
    strom
    0.75
    ulent
    0.74
    folio
    0.73
    Activations Density 0.008%

    No Known Activations