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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. 2278
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    Explanations

    social media platforms and communication methods

    oai_token-act-pair · gpt-3.5-turbo

    names of popular social media platforms and apps

    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
    oaded
    -0.60
     predecessor
    -0.51
    ridor
    -0.46
     exactly
    -0.46
    different
    -0.45
    imilar
    -0.45
    DAQ
    -0.44
    generated
    -0.44
    ailable
    -0.44
    etitive
    -0.44
    POSITIVE LOGITS
     etc
    0.79
    ))))
    0.78
     respectively
    0.64
    )))
    0.60
     };
    0.59
     =================================================================
    0.56
     ********************************
    0.56
    etc
    0.56
    };
    0.56
    cellaneous
    0.54
    Activations Density 0.989%

    No Known Activations