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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. 940
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    Explanations

    phrases related to hard work and dedication

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to hard work and effort

    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
    unknown
    -0.76
     Shutdown
    -0.69
    DragonMagazine
    -0.65
     Cheong
    -0.64
     Identification
    -0.63
    iliation
    -0.63
    Problem
    -0.61
     liability
    -0.61
    76561
    -0.61
     Lank
    -0.59
    POSITIVE LOGITS
     hard
    1.47
     tirelessly
    1.44
     harder
    1.34
     diligently
    1.32
     relentlessly
    1.17
     hardest
    1.10
     valiant
    1.08
     passionately
    1.06
     stren
    1.06
     tremendously
    1.05
    Activations Density 0.186%

    No Known Activations