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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. 17349
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    Explanations

    information related to statistics and numerical data

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to medical and financial data

    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
     Pros
    -0.72
     Wass
    -0.72
    agents
    -0.69
    Pros
    -0.69
     Mous
    -0.68
     pros
    -0.67
     Belfast
    -0.63
    iatures
    -0.62
     dossier
    -0.59
     Mons
    -0.58
    POSITIVE LOGITS
    oother
    0.80
     exception
    0.77
    trak
    0.77
     outl
    0.77
     decrease
    0.76
    verages
    0.75
     declines
    0.74
     decreases
    0.73
     peaked
    0.73
     averaged
    0.73
    Activations Density 0.873%

    No Known Activations