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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. 7-RES-JB
    11. 20923
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    Explanations

    references to specific years

    oai_token-act-pair · gpt-3.5-turbo

    references to the current year and its significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UTF
    -0.67
     territ
    -0.67
     sqor
    -0.65
     hemor
    -0.65
     luggage
    -0.64
    inki
    -0.62
    leeve
    -0.61
    ugar
    -0.60
    Phone
    -0.58
    ById
    -0.58
    POSITIVE LOGITS
    cific
    0.79
     æľ
    0.74
    nings
    0.67
     however
    0.66
    eve
    0.65
     Ago
    0.65
     marked
    0.64
     marks
    0.63
    gress
    0.61
     pt
    0.61
    Activations Density 0.096%

    No Known Activations