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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. 8-RES-JB
    6. 20913
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    Explanations

    references to daily activities or routines

    oai_token-act-pair · gpt-3.5-turbo

    references to daily activities and schedules

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hett
    -0.78
    ngth
    -0.77
    emort
    -0.75
    ACTED
    -0.70
    obal
    -0.68
     Eag
    -0.67
    æ©
    -0.67
    ashtra
    -0.66
    oice
    -0.66
    icultural
    -0.66
    POSITIVE LOGITS
    dream
    1.79
    care
    1.19
    lights
    1.10
    break
    1.07
    light
    1.01
    nings
    0.97
    trip
    0.94
    long
    0.90
    BOOK
    0.88
    glass
    0.87
    Activations Density 0.084%

    No Known Activations