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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. 6-RES-JB
    11. 14807
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    Explanations

    unusual or remarkable occurrences or events

    oai_token-act-pair · gpt-3.5-turbo

    the term "phenomenon" and its variations, indicating occurrences or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gur
    -1.01
    zar
    -0.77
    llah
    -0.74
    oÄŁ
    -0.70
    pees
    -0.69
    oglu
    -0.69
    endars
    -0.69
    zer
    -0.68
    bey
    -0.68
    har
    -0.68
    POSITIVE LOGITS
     phenomenon
    0.97
     phenomena
    0.90
    ually
    0.90
    ively
    0.89
    ĸļ
    0.86
    ional
    0.85
     occurring
    0.83
     whereby
    0.81
     occurrence
    0.78
    rences
    0.77
    Activations Density 0.030%

    No Known Activations