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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 15857
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    Explanations

    phrases related to first-hand experiences or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to secondhand experiences or items

    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
    Not in Any Lists

    No Comments

    Negative Logits
    vell
    -0.81
     LAT
    -0.62
    uni
    -0.61
     Scores
    -0.59
     breach
    -0.58
     airports
    -0.58
     Skydragon
    -0.58
     Sec
    -0.58
     MIL
    -0.57
     Weir
    -0.57
    POSITIVE LOGITS
    shake
    1.10
    maid
    1.05
    hand
    1.01
    lers
    0.93
    axe
    0.86
    bag
    0.85
    ling
    0.85
    held
    0.83
    Hand
    0.79
    chair
    0.78
    Activations Density 0.006%

    No Known Activations