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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. 10-RES-JB
    6. 9474
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    INDEX
    Explanations

    words and phrases related to employment and hiring

    oai_token-act-pair · gpt-3.5-turbo

    references to hiring and employment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.87
    urrencies
    -0.76
    urrency
    -0.73
    issues
    -0.73
    NetMessage
    -0.72
    rencies
    -0.72
    itol
    -0.72
     enjoyment
    -0.71
    otto
    -0.71
    topic
    -0.69
    POSITIVE LOGITS
     consultants
    1.34
     specialists
    1.25
     staff
    1.23
     staffers
    1.22
     experts
    1.19
     coordin
    1.19
     engineers
    1.18
     lawyers
    1.17
     assistants
    1.16
     volunteers
    1.16
    Activations Density 0.313%

    No Known Activations