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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. 4-RES-JB
    11. 2584
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    Explanations

    phrases related to quantities or limits

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a numerical limit or quantity

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

    No Comments

    Negative Logits
    hare
    -0.70
    alogy
    -0.64
    eur
    -0.62
     ling
    -0.61
    elson
    -0.60
    brook
    -0.60
    hent
    -0.59
    went
    -0.59
     apart
    -0.58
    hack
    -0.58
    POSITIVE LOGITS
    pload
    0.84
     pasture
    0.83
     compensate
    0.78
     date
    0.77
     fend
    0.74
     defend
    0.73
     accommodate
    0.71
    asty
    0.70
     recover
    0.69
    âĶĢâĶĢâĶĢâĶĢ
    0.69
    Activations Density 0.063%

    No Known Activations