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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 608
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Film
    -0.73
    Cooldown
    -0.72
    azines
    -0.71
     practition
    -0.67
    FactoryReloaded
    -0.66
    Plex
    -0.65
    ©¶æ
    -0.64
    ombies
    -0.64
    iamond
    -0.62
     immortality
    -0.62
    POSITIVE LOGITS
    wed
    0.75
    pher
    0.75
    reated
    0.70
    rower
    0.66
    most
    0.65
     Tropical
    0.63
    tr
    0.61
     Irma
    0.61
    wm
    0.60
     Petty
    0.59
    Activations Density 0.000%

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