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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. 8-RES-JB
    11. 24099
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    Explanations

    phrases indicating a specific number of additional units of time or quantity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "more."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odor
    -0.87
    omed
    -0.75
    obar
    -0.72
    both
    -0.72
    ISTER
    -0.71
    Gra
    -0.70
    orig
    -0.70
    iman
    -0.70
    ister
    -0.70
    oes
    -0.70
    POSITIVE LOGITS
     than
    1.06
     installments
    0.79
     rounds
    0.77
     layers
    0.76
     inches
    0.75
     stringent
    0.74
     expensive
    0.73
    worldly
    0.69
     bedrooms
    0.69
     refinement
    0.68
    Activations Density 0.052%

    No Known Activations