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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. 7041
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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
    Not in Any Lists

    No Comments

    Negative Logits
    ptin
    -0.70
    obil
    -0.67
     Soup
    -0.65
    mitt
    -0.65
     Kinnikuman
    -0.65
    manuel
    -0.63
    ipment
    -0.62
    ourse
    -0.62
    anchester
    -0.62
    urden
    -0.62
    POSITIVE LOGITS
    Desktop
    0.83
    Ct
    0.74
    Sync
    0.68
     DEBUG
    0.61
     fir
    0.60
    Reviewer
    0.59
    locks
    0.58
    auri
    0.58
    deg
    0.58
    Pg
    0.58
    Activations Density 0.000%

    No Known Activations

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