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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. 17920
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    INDEX
    Explanations

    specific court names and legal terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of different courts

    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
    ku
    -0.73
    dyl
    -0.69
     americ
    -0.64
     livest
    -0.62
    jiang
    -0.62
     differe
    -0.62
    sung
    -0.61
     epoch
    -0.60
     prest
    -0.60
    ÃŁ
    -0.59
    POSITIVE LOGITS
    auld
    1.09
    room
    0.89
    rooms
    0.87
     Reporter
    0.82
    esan
    0.82
     Court
    0.82
    wright
    0.80
    stall
    0.77
    yer
    0.76
    Court
    0.75
    Activations Density 0.019%

    No Known Activations