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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 19169
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    Explanations

    references to specific companies or organizations

    oai_token-act-pair · gpt-3.5-turbo

    names of major corporations and companies

    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
    isode
    -0.70
    ipel
    -0.70
    20439
    -0.57
    geries
    -0.57
    arial
    -0.56
    alys
    -0.55
    rn
    -0.53
    asions
    -0.53
    uminati
    -0.53
    lihood
    -0.52
    POSITIVE LOGITS
     executives
    0.72
     Corporation
    0.70
     shareholders
    0.70
     Ventures
    0.69
     Stores
    0.68
    's
    0.67
     exec
    0.66
     Technologies
    0.65
     itself
    0.64
    Corp
    0.64
    Activations Density 0.244%

    No Known Activations