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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. 4-RES-JB
    11. 8500
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    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "back" in various contexts

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

    No Comments

    Negative Logits
     NCT
    -0.71
    ÃŃn
    -0.70
    ities
    -0.66
     viz
    -0.65
    ifix
    -0.64
    iami
    -0.62
    itta
    -0.62
    iew
    -0.61
     Pett
    -0.60
    ision
    -0.59
    POSITIVE LOGITS
    )=(
    1.02
    dated
    0.99
    packs
    0.96
    gam
    0.90
    GROUND
    0.89
    stab
    0.82
    tracking
    0.81
    swing
    0.81
    track
    0.80
    stories
    0.80
    Activations Density 0.028%

    No Known Activations