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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    names containing "ang"

    oai_token-act-pair · gpt-3.5-turbo

    the repeated occurrence of the string "ang"

    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
    lished
    -0.81
     monitors
    -0.72
     Zur
    -0.69
     randomized
    -0.67
     Commons
    -0.61
    Ĥİ
    -0.61
     slots
    -0.61
     supplies
    -0.60
     exemptions
    -0.60
     safe
    -0.59
    POSITIVE LOGITS
    ang
    4.33
    angs
    2.79
    ANG
    2.20
    angan
    1.86
    angler
    1.77
    ange
    1.61
    anging
    1.57
    anger
    1.52
    ango
    1.50
    anged
    1.48
    Activations Density 0.022%

    No Known Activations