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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. 2811
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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
     pursu
    -0.64
    ollah
    -0.64
     nurture
    -0.61
     mates
    -0.60
    Harris
    -0.60
    áµ
    -0.59
     considerations
    -0.59
    Factor
    -0.59
     manoeuv
    -0.58
    guard
    -0.58
    POSITIVE LOGITS
    mining
    0.83
    âĵĺ
    0.76
    pling
    0.74
    SourceFile
    0.71
    ndra
    0.68
    quez
    0.67
    avery
    0.67
    ãĥĩãĤ£
    0.67
     Kung
    0.66
    astery
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.