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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. 15875
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    Explanations

    phrases related to long-term plans or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to long-term policies and commitments

    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
     Scrib
    -0.90
     GEAR
    -0.85
     Compass
    -0.83
     AVG
    -0.82
    ulhu
    -0.79
     Wiz
    -0.77
     DRAG
    -0.76
    ħĭ
    -0.75
     Phi
    -0.73
    Ö¼
    -0.72
    POSITIVE LOGITS
    distance
    1.14
    term
    1.13
    enough
    1.12
    sighted
    1.05
    haired
    1.05
    sized
    1.05
    eyed
    1.03
    sounding
    1.02
    serving
    1.00
    suff
    1.00
    Activations Density 0.043%

    No Known Activations