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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. 2-RES-JB
    6. 2793
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    Explanations

    phrases related to different ways of doing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to different methods or approaches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    encer
    -0.74
    usters
    -0.67
    uster
    -0.67
    anmar
    -0.65
    ı
    -0.64
     susp
    -0.61
    itor
    -0.61
    itton
    -0.61
     Gru
    -0.61
    rake
    -0.59
    POSITIVE LOGITS
    fare
    1.02
    finding
    0.88
    point
    0.88
    ward
    0.81
    points
    0.73
    drive
    0.73
     WAY
    0.72
    PASS
    0.72
     DAM
    0.71
    Way
    0.66
    Activations Density 0.060%

    No Known Activations