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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 24155
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    Explanations

    names related to the word "Bra"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Bra" and variations of it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ARY
    -0.82
    matic
    -0.78
    ership
    -0.77
    papers
    -0.75
    eers
    -0.75
    regor
    -0.71
    omez
    -0.70
    TY
    -0.70
     Gutenberg
    -0.68
    ovych
    -0.67
    POSITIVE LOGITS
    ille
    1.08
    hma
    0.96
    kes
    0.93
    ided
    0.90
    very
    0.84
    gger
    0.82
    keley
    0.80
    ves
    0.79
    gged
    0.78
    iding
    0.78
    Activations Density 0.022%

    No Known Activations