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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. 3-RES-JB
    6. 7297
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    negative terms related to economic policies or business practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dickinson
    -0.71
    ulhu
    -0.67
     EntityItem
    -0.63
     Vessel
    -0.58
     Borders
    -0.56
     AVG
    -0.56
     Norris
    -0.55
     Burr
    -0.54
     Confederation
    -0.53
     Meadows
    -0.53
    POSITIVE LOGITS
    based
    1.12
    sized
    1.12
    related
    0.99
    themed
    0.99
    induced
    0.98
    level
    0.97
    shaped
    0.97
    powered
    0.96
    derived
    0.96
    driven
    0.92
    Activations Density 0.381%

    No Known Activations