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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. 8-RES-JB
    11. 10441
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    Explanations

    words related to savoring and enjoyment

    oai_token-act-pair · gpt-3.5-turbo

    words related to salience or prominence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.80
    STEP
    -0.79
     Dominion
    -0.74
     Starr
    -0.70
     Sets
    -0.66
     Breaker
    -0.66
     Living
    -0.66
    urden
    -0.64
    gaard
    -0.63
     Annotations
    -0.63
    POSITIVE LOGITS
    mone
    1.08
    utations
    1.05
    ience
    1.03
    ient
    1.03
    iency
    0.99
    istry
    0.94
    mons
    0.93
    acious
    0.93
    utation
    0.93
    ivating
    0.92
    Activations Density 0.019%

    No Known Activations