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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. 3-RES-JB
    11. 4223
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    Explanations

    references to the physical location "back"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "back."

    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
    ifix
    -0.73
    ittee
    -0.72
    nt
    -0.72
    izo
    -0.71
    inational
    -0.67
    ittees
    -0.66
     viz
    -0.65
    KING
    -0.64
    itutional
    -0.64
     Defendants
    -0.64
    POSITIVE LOGITS
    side
    1.06
    dated
    1.01
    packs
    1.01
    door
    0.99
    gam
    0.96
    stab
    0.94
    GROUND
    0.91
    tracking
    0.90
    woods
    0.89
    stories
    0.88
    Activations Density 0.063%

    No Known Activations