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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. 3-RES-JB
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    Explanations

    proper names, specifically the name "Glen."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Glen" and related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÄŁ
    -0.73
    oÄŁ
    -0.72
    Ĥİ
    -0.67
    unin
    -0.67
     subp
    -0.66
    enance
    -0.66
    initialized
    -0.65
     Debor
    -0.64
    catentry
    -0.64
     PU
    -0.64
    POSITIVE LOGITS
    coe
    1.02
    iths
    0.91
    forth
    0.88
    stones
    0.85
    boro
    0.83
    brook
    0.83
    oche
    0.82
    gow
    0.82
    mor
    0.81
     Glen
    0.78
    Activations Density 0.007%

    No Known Activations