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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. 7903
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    Explanations

    references to specific ages such as numbers indicating years or months

    oai_token-act-pair · gpt-3.5-turbo

    references to durations of time and age

    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
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    Negative Logits
    hip
    -0.79
    cape
    -0.74
     Ambro
    -0.69
     Canaver
    -0.69
     Scrib
    -0.68
    anski
    -0.67
    ervation
    -0.67
    imilar
    -0.65
    rav
    -0.64
    rol
    -0.64
    POSITIVE LOGITS
     olds
    1.42
     old
    0.76
     lengths
    0.73
    hz
    0.71
     platinum
    0.69
    ãĥ´
    0.67
     combos
    0.66
     retard
    0.66
     experien
    0.64
     anniversary
    0.64
    Activations Density 0.100%

    No Known Activations