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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. 7106
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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
    vernment
    -0.81
     fundra
    -0.80
     lifes
    -0.79
    urous
    -0.74
     filmmaking
    -0.73
     trouble
    -0.72
     mosqu
    -0.71
    assic
    -0.71
     everyday
    -0.69
     edged
    -0.69
    POSITIVE LOGITS
     Annotations
    0.96
    Visual
    0.94
     Exper
    0.77
     Condition
    0.77
     Specifically
    0.76
     Suppose
    0.75
    sbm
    0.74
    bub
    0.74
     Component
    0.72
     However
    0.71
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.