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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. 4-RES-JB
    11. 20199
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    Explanations

    language related to scheduling and appointments

    oai_token-act-pair · gpt-3.5-turbo

    references to scheduling or setting appointments

    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
    sol
    -0.78
    Ïģ
    -0.74
    Ïī
    -0.73
    hner
    -0.71
    overe
    -0.69
    wagen
    -0.66
    ider
    -0.65
    Cola
    -0.64
    keyes
    -0.64
    peria
    -0.63
    POSITIVE LOGITS
     appointments
    1.04
     appointment
    0.95
    ointment
    0.88
    lies
    0.87
    eering
    0.82
     announcements
    0.73
     fees
    0.72
    holders
    0.71
     droid
    0.69
    ointed
    0.69
    Activations Density 0.015%

    No Known Activations