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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. 0-RES-JB
    11. 2537
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    Explanations

    phrases or words related to appointments

    oai_token-act-pair · gpt-3.5-turbo

    references to appointments or scheduling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     BASE
    -0.77
    Base
    -0.67
     Fatal
    -0.66
    Rap
    -0.64
    bos
    -0.63
    gra
    -0.63
    lang
    -0.62
    raq
    -0.62
    κ
    -0.61
     Back
    -0.60
    POSITIVE LOGITS
     appointment
    3.99
     appointments
    2.98
    ointment
    2.12
     appointing
    1.88
     appoint
    1.68
     appointed
    1.51
     nomination
    1.31
     consultation
    1.24
    ointed
    1.23
     hire
    1.23
    Activations Density 0.008%

    No Known Activations