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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. 5732
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    Explanations

    verbs related to something being noticed or emphasized

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize standing out or distinguishing features

    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
     Returning
    -0.70
    javascript
    -0.68
    ricular
    -0.67
     Ending
    -0.67
    TION
    -0.65
     DRAG
    -0.64
    allo
    -0.64
     Mansion
    -0.63
     Escape
    -0.62
    xia
    -0.62
    POSITIVE LOGITS
     tallest
    0.96
    still
    0.96
    alone
    0.87
     alone
    0.86
    Reviewed
    0.85
     taller
    0.84
     tall
    0.84
    bys
    0.81
     apart
    0.81
     mixer
    0.80
    Activations Density 0.026%

    No Known Activations