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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. 7577
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    Explanations

    instructional phrases asking for action or attention

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "make sure."

    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
    ufact
    -0.96
    Rated
    -0.76
    INT
    -0.69
    Poké
    -0.68
    inese
    -0.67
    bank
    -0.63
    banks
    -0.63
    layer
    -0.63
    inventoryQuantity
    -0.62
    enegger
    -0.60
    POSITIVE LOGITS
    terday
    0.92
     sure
    0.79
     Gamble
    0.75
    ties
    0.75
    sure
    0.73
    ures
    0.68
     Virtue
    0.66
    ector
    0.65
     certain
    0.64
    Msg
    0.64
    Activations Density 0.017%

    No Known Activations