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    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. 9049
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly "Wendy" and "Nad."

    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
    umen
    -0.88
    heed
    -0.86
    ration
    -0.81
    ular
    -0.78
    ulus
    -0.76
    rated
    -0.75
    lesi
    -0.75
    hement
    -0.74
    ports
    -0.74
    achev
    -0.73
    POSITIVE LOGITS
     Wendy
    0.78
     Fitzgerald
    0.73
     Stephenson
    0.72
    ||||
    0.70
     Rice
    0.68
    bourg
    0.68
     Tire
    0.67
     Morton
    0.67
     McN
    0.66
     Past
    0.66
    Activations Density 0.034%

    No Known Activations