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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. 5632
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    Explanations

    words related to theft and illegal acquisition

    oai_token-act-pair · gpt-3.5-turbo

    terms related to looting and theft

    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
    ioxide
    -0.70
    66666666
    -0.70
    cond
    -0.68
    tem
    -0.67
    nee
    -0.67
     Bern
    -0.66
     constitu
    -0.66
    Filename
    -0.66
    Son
    -0.64
    Temperature
    -0.64
    POSITIVE LOGITS
     loot
    1.17
     looting
    1.11
     looted
    1.07
    ibrary
    0.96
    fters
    0.82
     crates
    0.81
    owship
    0.81
     Crate
    0.81
     piles
    0.81
     carts
    0.80
    Activations Density 0.008%

    No Known Activations