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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. 23511
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    Explanations

    phrases involving descriptions or evaluations of various entities or concepts, sometimes using quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    references to descriptions or evaluations of people or things

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ADS
    -0.67
    iers
    -0.67
    iership
    -0.67
    udi
    -0.64
    tsky
    -0.64
    rers
    -0.60
    ersen
    -0.57
    ocobo
    -0.57
    Side
    -0.57
    Added
    -0.57
    POSITIVE LOGITS
     "...
    1.19
     "âĢ¦
    1.15
     "[
    1.02
     follows
    1.02
     "
    1.00
     "'
    0.98
     "#
    0.91
     '[
    0.85
     "(
    0.85
     ''
    0.83
    Activations Density 0.131%

    No Known Activations