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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. 3-RES-JB
    11. 20068
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    vae
    -1.11
    ĸļ
    -0.77
    quartered
    -0.76
    uyomi
    -0.73
    collar
    -0.71
    roma
    -0.67
    horn
    -0.65
    axy
    -0.65
    atos
    -0.64
    izons
    -0.64
    POSITIVE LOGITS
     Router
    0.76
     saves
    0.67
    alter
    0.64
    ALT
    0.62
    ORTS
    0.61
     Points
    0.61
    INS
    0.61
    Charge
    0.60
    ocating
    0.59
    INT
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.