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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. 12352
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    Explanations

    phrases related to working hard or putting in effort to achieve goals

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of hard work

    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
     Salvation
    -0.60
    DragonMagazine
    -0.59
    Republic
    -0.56
     transsexual
    -0.56
     Vend
    -0.56
    URR
    -0.55
    BuyableInstoreAndOnline
    -0.55
     Dys
    -0.54
    ãĥĺãĥ©
    -0.54
     Quin
    -0.53
    POSITIVE LOGITS
     enough
    1.16
    enough
    1.06
    entimes
    0.84
     everyday
    0.84
    eday
    0.83
    itud
    0.83
     Enough
    0.81
     toget
    0.80
    wired
    0.80
    oward
    0.80
    Activations Density 0.049%

    No Known Activations