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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. 9-RES-JB
    11. 7308
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    Explanations

    words expressing personal preferences or enjoyment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of liking or loving something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.83
    orthy
    -0.83
    arat
    -0.80
    onse
    -0.77
    AIDS
    -0.77
    arf
    -0.77
    Purchase
    -0.77
    til
    -0.75
    ainer
    -0.74
    ene
    -0.73
    POSITIVE LOGITS
     seeing
    1.03
     experimenting
    0.97
     surprises
    0.96
     watching
    0.96
     interacting
    0.87
     having
    0.86
     talking
    0.84
     hearing
    0.84
     listening
    0.83
     simplicity
    0.82
    Activations Density 0.095%

    No Known Activations