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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. 16078
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    INDEX
    Explanations
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    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
    aleb
    -0.65
    ensional
    -0.64
    theless
    -0.63
    ĸļ
    -0.62
    ĺħ
    -0.61
    EVA
    -0.61
    etheless
    -0.60
    mx
    -0.59
    dyl
    -0.59
    ONG
    -0.58
    POSITIVE LOGITS
    graded
    0.70
    uner
    0.68
    icals
    0.68
    åĮ
    0.67
    mere
    0.65
    itures
    0.65
    ãĥ¯
    0.64
    igible
    0.64
    imental
    0.63
     Insp
    0.62
    Activations Density 0.000%

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