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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. 16946
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    Explanations

    phone numbers in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    sequences of numbers, particularly those formatted like phone numbers or statistical data

    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
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    No Comments

    Negative Logits
     reckoning
    -0.68
     marqu
    -0.65
    igans
    -0.64
     cradle
    -0.62
    lesh
    -0.60
    asus
    -0.60
     crunch
    -0.59
    ocating
    -0.59
     drink
    -0.58
    isha
    -0.58
    POSITIVE LOGITS
    Ö¼
    1.02
    =-=-
    0.86
    degree
    0.77
    PsyNetMessage
    0.72
     unfocusedRange
    0.71
    515
    0.69
    APTER
    0.69
    70710
    0.69
    685
    0.68
    Ct
    0.68
    Activations Density 0.207%

    No Known Activations