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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. 9-RES-JB
    11. 18095
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Flavoring
    -0.86
    past
    -0.81
    bery
    -0.76
    abouts
    -0.74
    bye
    -0.71
    lihood
    -0.71
    waters
    -0.71
    cott
    -0.70
    cart
    -0.70
    birth
    -0.70
    POSITIVE LOGITS
    urations
    1.31
    uration
    1.19
    urable
    1.18
     parameters
    0.93
     file
    0.92
     variables
    0.87
     tweaks
    0.86
    Parser
    0.84
     settings
    0.83
     Config
    0.82
    Activations Density 0.061%

    No Known Activations