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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. 1818
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    Explanations

    numbers related to specific categories or groups

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    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
     tremend
    -0.53
     compr
    -0.53
     Acquisition
    -0.52
     notor
    -0.51
     Niger
    -0.50
     Signs
    -0.50
     metic
    -0.49
     Stard
    -0.48
     Origin
    -0.48
     experien
    -0.48
    POSITIVE LOGITS
    -
    1.30
    -)
    1.19
    -[
    1.18
    -,
    1.08
    -.
    1.00
    %-
    0.99
    -'
    0.99
    âĢij
    0.97
    -$
    0.94
    -(
    0.91
    Activations Density 0.181%

    No Known Activations