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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. 1-RES-JB
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    Explanations

    keywords related to business interactions and client relationships

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "clients."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ATIONAL
    -0.79
     Hug
    -0.77
     Gren
    -0.76
     Germ
    -0.70
    BN
    -0.69
    OOD
    -0.68
     Patriot
    -0.68
    OG
    -0.67
     Colonial
    -0.66
     Boat
    -0.65
    POSITIVE LOGITS
     clients
    1.48
    ients
    1.02
    ele
    0.99
     client
    0.94
    hip
    0.87
    hare
    0.86
     challeng
    0.84
    hops
    0.83
     contracted
    0.83
    ertodd
    0.82
    Activations Density 0.011%

    No Known Activations