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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. 12-RES-JB
    11. 4960
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
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    phrases related to technological advancements and gaming mechanics

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    imus
    -0.76
    olson
    -0.73
    cia
    -0.70
    imilation
    -0.67
    kas
    -0.66
    ulin
    -0.66
    unes
    -0.66
    hani
    -0.64
    hide
    -0.63
    ailability
    -0.62
    POSITIVE LOGITS
     Mechdragon
    0.84
    edge
    0.77
     Room
    0.71
     edge
    0.70
     Line
    0.68
     GROUP
    0.64
     Point
    0.63
    letes
    0.63
     room
    0.60
     Munich
    0.59
    Activations Density 0.258%

    No Known Activations