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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. 4-RES-JB
    11. 4639
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    Explanations

    phrases related to applying for something, such as licenses, protection, bail, asylum, and other applications

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate formal applications for various processes or documents

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

    No Comments

    Negative Logits
    velt
    -0.78
    ofi
    -0.76
    Pod
    -0.74
    pointer
    -0.73
    ÄŁ
    -0.72
     GOODMAN
    -0.72
    pod
    -0.71
    rir
    -0.70
    CG
    -0.68
    hen
    -0.68
    POSITIVE LOGITS
     inclusion
    0.91
    gery
    0.86
     clarification
    0.84
     bids
    0.84
     consideration
    0.82
    geries
    0.81
     renewal
    0.81
     guidance
    0.80
     proposals
    0.80
     voluntary
    0.79
    Activations Density 0.149%

    No Known Activations