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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 23187
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    INDEX
    Explanations

    mentions of refreshing activities or situations

    oai_token-act-pair · gpt-3.5-turbo

    terms and references related to freshness and smoothness

    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
     Kut
    -0.84
    DragonMagazine
    -0.76
    Machine
    -0.69
     Physicians
    -0.66
     PowerPoint
    -0.65
    \<
    -0.63
     Sherman
    -0.62
     Hunger
    -0.62
    Universal
    -0.62
     Lieberman
    -0.62
    POSITIVE LOGITS
     fres
    1.12
    hest
    1.11
    ulpt
    0.92
     Fres
    0.89
    ucc
    0.88
    ogly
    0.85
    ener
    0.81
    lic
    0.79
    hess
    0.78
    colo
    0.78
    Activations Density 0.007%

    No Known Activations