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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. 20754
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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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    No Comments

    Negative Logits
    into
    -0.73
    oys
    -0.69
    ipt
    -0.69
    cius
    -0.68
    upt
    -0.65
    RW
    -0.65
    IPS
    -0.64
    irez
    -0.64
    iots
    -0.64
    Merit
    -0.64
    POSITIVE LOGITS
     boosters
    0.73
     Citation
    0.65
     marketers
    0.65
     scale
    0.64
    Scroll
    0.62
     Gloria
    0.61
    agnetic
    0.61
     Teach
    0.61
     launching
    0.60
     pose
    0.59
    Activations Density 0.000%

    No Known Activations

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