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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. 10642
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    Explanations

    terms related to financial topics and government programs

    oai_token-act-pair · gpt-3.5-turbo

    references to various demographic groups, particularly those affected by economic and healthcare issues

    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
    yss
    -0.87
    rawdownloadcloneembedreportprint
    -0.79
    inventoryQuantity
    -0.72
    POR
    -0.71
     actionGroup
    -0.68
    OLOG
    -0.67
    saf
    -0.67
    ãĥĥ
    -0.66
    Rogue
    -0.66
    Nut
    -0.66
    POSITIVE LOGITS
    hips
    1.16
     alike
    1.16
    hip
    0.97
     who
    0.96
    paces
    0.89
     whom
    0.89
     undergoing
    0.85
     living
    0.85
    opausal
    0.83
     residing
    0.82
    Activations Density 0.283%

    No Known Activations