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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. 7-RES-JB
    11. 21528
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    Explanations

    business-related entities like companies and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to organizations and institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.81
    xual
    -0.73
     proced
    -0.69
    uable
    -0.69
    SOURCE
    -0.69
    zone
    -0.66
    ãĥĺãĥ©
    -0.65
    âĶĢâĶĢ
    -0.64
    idi
    -0.64
     wast
    -0.64
    POSITIVE LOGITS
     Publishers
    0.77
     Maxwell
    0.70
     Laboratories
    0.68
     LLP
    0.67
     Bernstein
    0.61
     Speedway
    0.61
     Friedrich
    0.61
    Rand
    0.61
    Morgan
    0.60
    bright
    0.59
    Activations Density 0.302%

    No Known Activations