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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. 1-RES-JB
    11. 911
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    paced
    -0.72
     ................
    -0.65
    animous
    -0.64
    eared
    -0.59
    theless
    -0.59
    @@
    -0.59
    aday
    -0.59
    conv
    -0.58
     Gregory
    -0.58
    eous
    -0.58
    POSITIVE LOGITS
    undown
    0.82
    ãĥ¼ãĥĨ
    0.72
    ãĥ¯ãĥ³
    0.72
    isoft
    0.69
    endi
    0.68
    otte
    0.68
    robat
    0.68
    ipel
    0.67
    otine
    0.67
     accommodation
    0.65
    Activations Density 0.000%

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