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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. 5836
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    Explanations

    verbs related to providing or offering something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the act of providing or supplying something

    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
    luaj
    -0.75
    pine
    -0.74
    talking
    -0.68
    turn
    -0.67
    conn
    -0.67
    EStream
    -0.66
    essel
    -0.66
    ocene
    -0.64
    section
    -0.64
    lander
    -0.63
    POSITIVE LOGITS
     ample
    1.16
     insight
    1.11
     opportunities
    1.11
     advantages
    1.07
     invaluable
    1.07
     clues
    1.02
     valuable
    1.02
     unparalleled
    1.01
     protection
    1.01
     fodder
    0.99
    Activations Density 0.093%

    No Known Activations