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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. 11767
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    Explanations

    verbs related to physical actions involving cutting or severing

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of chopping

    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
    Grey
    -0.69
    abor
    -0.65
    debian
    -0.65
    igate
    -0.65
    ports
    -0.65
    clair
    -0.63
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.62
    rium
    -0.61
    role
    -0.61
    vol
    -0.61
    POSITIVE LOGITS
     chop
    1.37
     chops
    1.07
     Chop
    1.01
     chopping
    0.99
     onions
    0.92
     roast
    0.89
     chopped
    0.87
    sticks
    0.86
    alore
    0.82
     piles
    0.81
    Activations Density 0.010%

    No Known Activations