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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. 11-RES-JB
    11. 9161
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    Explanations

    words related to expressing intentions or desires

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "to" indicating intentions or goals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.68
    DragonMagazine
    -0.64
    afety
    -0.62
     Cosponsors
    -0.62
     tricked
    -0.60
    Plus
    -0.59
    taboola
    -0.58
    anooga
    -0.57
    uli
    -0.56
     lawy
    -0.55
    POSITIVE LOGITS
     accomplish
    1.22
     achieve
    1.21
     emulate
    1.19
     pursue
    1.09
     avoid
    1.06
     eradicate
    1.00
     undertake
    1.00
     eliminate
    0.99
     implement
    0.97
     execute
    0.97
    Activations Density 0.116%

    No Known Activations