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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. 5-RES-JB
    6. 23516
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    INDEX
    Explanations

    sequences related to job offers and rejections

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to contractual obligations and employment situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Malays
    -0.61
    nation
    -0.59
    atl
    -0.57
    Mos
    -0.57
    journal
    -0.56
    League
    -0.55
    BN
    -0.55
    license
    -0.54
    Shar
    -0.54
    official
    -0.54
    POSITIVE LOGITS
     whichever
    0.80
     prest
    0.73
     predetermined
    0.71
     elig
    0.71
    oldown
    0.70
    ichever
    0.68
     increments
    0.66
    oother
    0.64
     magically
    0.63
     automatically
    0.62
    Activations Density 1.649%

    No Known Activations