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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. 1-RES-JB
    11. 16142
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    Explanations

    keywords related to bit architectures, specifically focusing on 64-bit

    oai_token-act-pair · gpt-3.5-turbo

    terms related to computer architecture, specifically bit depth

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bumper
    -0.72
    ammad
    -0.69
     COUR
    -0.68
     oun
    -0.66
     mids
    -0.66
     DRAG
    -0.66
     Dj
    -0.65
     revolving
    -0.65
     mounting
    -0.63
    stice
    -0.62
    POSITIVE LOGITS
    bit
    1.19
    terness
    1.16
    coins
    1.03
    buck
    0.95
    ertodd
    0.93
    mask
    0.91
    bite
    0.85
    cade
    0.81
    bits
    0.79
    inventoryQuantity
    0.75
    Activations Density 0.010%

    No Known Activations